Bioinformatics Scientist Resume Samples

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W Berge

Willis

Berge

5673 Lexi Squares

Dallas

+1 (555) 694 0938

5673 Lexi Squares

Dallas

Phone

p +1 (555) 694 0938

Experience Experience

Philadelphia, PA

Bioinformatics Scientist

Philadelphia, PA

Howe Inc

Philadelphia, PA

Bioinformatics Scientist

Provide analysis information to management to aid in decision making on the development of new laboratory developed tests
Works with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows
Improve the designs by iterative analysis of the sequencing data obtained. Develop heuristic rules and algorithms to improve the design pipeline
Develops and maintains working relationship with data providers such as sequencing cores within CHOP and infrastructure groups such as information systems
Ensures that configuration files that provide parameters to algorithms and analysis software are versioned and managed through a source control system
Collaborate with plant breeders, molecular scientists and IT developers in developing innovative tools
Work closely with molecular biologists during assay development and optimizations

New York, NY

Field Bioinformatics Scientist Singapore

New York, NY

Hudson-Fahey

New York, NY

Field Bioinformatics Scientist Singapore

Assist sales and support in pre-sales functions as well as working with customers to understand and integrate their work flows
Provide timely technical and application assistance in response to customer inquiries
Work with marketing to define/develop models for competitive positioning of SMS technology
Provide scientific and applications feedback to development, marketing, and sales
Provide feedback and be a part of improving informatics pipelines and solutions
Develop bioinformatics related sales tools such as application notes and white papers
Work with the customer and with internal R&D scientists to analyze data from next generation sequencing experiments

present

Los Angeles, CA

Senior Bioinformatics Scientist

Los Angeles, CA

Wunsch, Auer and Barrows

present

Los Angeles, CA

Senior Bioinformatics Scientist

present

Translating clinical and molecular pathologist input into gene target regions for panels
Mentors other scientists in the group through technical assistance, goal suggestion, and growth opportunity suggestion
Problem-solve to overcome technical challenges (including basic Linux operation, Pacific Biosciences analysis software, and operation of bioinformatics analysis pipelines)
Collaborate to integrate sequencing and other omics analyses with existing database applications, sample handling workflow, and analysis infrastructure
Knowledge of programming languages, such as C#, VB/VBA, MATLAB, R, Perl, SQL Scripting helpful
Data mining and machine learning on large biological data sets
Strong background in algorithms, data mining/machine learning and statistics

Education Education

Bachelor’s Degree in Bioinformatics

Virginia Commonwealth University

Bachelor’s Degree in Bioinformatics

Skills Skills

Excellent communication and organization skills are highly desirable
Excellent problem solving skills and ability to learn quickly on the job
Knowledge in basic biological processes and genomics
Attention to detail and an ability to multitask to meet business critical timelines on an ongoing basis
Strong command of statistics and probability and their application to quantitative analyses
Understanding of molecular biology and human genetics / genomics highly desirable
A bright, enthusiastic attitude with the ability to implement practical solutions
Desire to work in a fast-paced, dynamic environment. Proven teamwork and leadership skills. High creativity. Excellent communication skills and attention to detail
Knowledge of microbiology, biochemistry & genetics in addition to computer science and computational biology skills
Strong written & verbal communication skills as well as interpersonal skills

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15 Bioinformatics Scientist resume templates

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Bioinformatics Scientist Resume Examples & Samples

4+ years of experience with managing, analyzing, interpreting, and integrating large laboratory, surveillance, or clinical datasets
4+ years of experience with programming in Perl, Python, or Java
3+ years of experience with storing and analyzing next-generation sequence data, including Illumina, PacBio, and Ion Torrent
Experience with generating algorithms to solve formal and practical problems arising from the management and analysis of high-throughput biological datasets
Experience with bioinformatics tools for aligning, genome annotation, and functional analysis and with existing high-throughput sequencing tools, including SAMtools, BEDtools, BWA, Bowtie, and Velvet
Experience with designing software to automate the data management and analysis pipeline for high-throughput biological data-Experience with performing statistical analyses and data mining techniques to develop fully integrated systems that drive public health decision-making using SAS, R, or SPSS
Experience in UNIX or Linux scientific computing environments
Experience with high performance computing environments
Experience with population or evolutionary genomic analysis
Experience with PostgeSQL or MySQL database development, including writing SQL queries
Experience with eukaryotic genomics and host-pathogen interaction studies
Experience with RNA-seq analysis is a plus
Experience with application development, OOP methodology, or HTML Javascript is a plus
Possession of excellent collaboration skills
MS degree in Bioinformatics or a related technical field preferred; PhD a plus

Bioinformatics Scientist Resume Examples & Samples

Basic knowledge of molecular biology and genomics
Proficient in Python, or similar programming language, and Linux/Unix/Mac environment
Experience in analyzing next generation sequencing (NGS) data (DNA-seq, RNA-seq etc.) is strongly preferred
Familiarity with commonly used databases and bioinformatics tools for NGS data analysis (eg. BEDTools, SAMtools, IGV, ANNOVAR, Bowtie, GATK, ChimeraScan, UCSC Genome Browser, Galaxy, etc.)
Experience with R, Perl, Java, HTML/CSS, SPSS/SAS or similar, and SQL is preferred
Experience developing analysis and reporting pipelines for clinical tests is preferred

Bioinformatics Scientist Resume Examples & Samples

Analyzing of public/proprietary data sources (genomic, proteomic, or post-genomic databases); dynamic and static visualization of complex data sources
Creating new computational approaches and analytics tools for biology-based activities
Developing innovative mobile and web-based bioinformatics tools and software applications
Collaborating with application architects, developers, and data scientists
Initiating, defining, managing, and executing original and impactful projects
At least 3 years experience in experience in designing bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, pattern analysis, or graphic algorithms Experience in developing data m
At least 3 years experience in Experience in creating novel statistical and computational approaches and analytical tools for genetic analysis, measurement of gene expression and gene function determination
English: Fluent

Field Bioinformatics Scientist Resume Examples & Samples

Responsible for providing Bioinformatics (BFX) training to customers and distributors
Support customers through the analysis of experimental results and development of analysis tools for specific applications
Present Bioinformatics issues and solutions to audiences with varying levels of experience
Operating and managing pipelines for data analysis and platform support across our regional NGS customers
Support sales in strategic pre-sales activity planning and delivery Bioinformatics capability presentation and demonstration Development of presentation depicting results of the NGS data analysis that may be utilized by marketing and product management
Develop Bioinformatics customer training material (creation, duration, review)
Develop custom scripts for specific customer requests
Additional responsibilities may include
Knowledge and skills normally acquired through completion of a MSc or PhD in Computational Biology, Molecular Biology, Genetics, Statistics, Software Engineering, Computer Science or related field
3-4 years of directly related experience on the qualifications mentioned above
Hands-on experience with relevant sequencing analysis tools
An excellent understanding of genomic databases and their annotations (GenBank, RefSeq, ENSEMBL, dbSNP)
Demonstrated computer skills including proficiency with a scripting language (e.g. Perl, BioPerl, Python) in a Linux and Windows environment
A good understanding of the biology behind genotyping, gene expression profiling, and genetic mapping, familiarity with the basis of nucleic acid structure and folding, and an appreciation of the use of statistical methods and mathematical models in the interpretation of biological data is highly desirable
Software and algorithm development skills (e.g. in C/C++/Java/Matlab), familiarity with statistical analysis tools (e.g. R, S-Plus, SAS), database development experience (Oracle, SQL, XML), related industry experience, and a record of publications are pluses
Required to travel within the region to carry out primary responsibilities
Ability to share information clearly and consistently with colleagues
Self-motivated and engaged

Bioinformatics Scientist Resume Examples & Samples

4+ years of experience in molecular biology, microbiology, genetics, or biochemistry, including coursework
Experience with development in Hadoop, MapReduce, and HDFS
Experience with Linux systems and programming using languages, including Python, Perl, and Java, C++, and C #
Knowledge of PCR methods and NGS technologies
Ability to explain and present complex scientific concepts verbally and in writing
Experience with microbiological detection techniques, advanced PCR methods, including RT-PCR, multiplexing, and qPCR, and DNA isolation and characterization
Experience with next generation sequencing, mass spectrometry, including MALDI and ESI-Q and HPLC a plus
PhD degree in Bioinformatics, Computational Biology or a related field preferred

Bioinformatics Scientist Resume Examples & Samples

Possession of a Doctoral degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, statistics, genetics, computational biology or related field
A minimum of two (2) years of progressively responsible scientific and/or complex system management/bioinformatics experience
Strong knowledge required of genome-wide association analysis and interpretation, and applied computational research on large multivariate datasets
Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor, Matlab, Python, and a wide range of contemporary, open-source bioinformatics tools and database structures (e.g. PLINK, SNPTEST, GLU, IMPUTE2, BEAGLE, UCSC Genome Browser, etc.)
Programming experience with Shell, Perl, Python, C/C++, and/or JAVA
Team oriented with excellent written and verbal communication skills, with demonstrated ability to self-educate in current bioinformatics techniques and resources
Familiarity with publically available data sources (such as dbGaP, TCGA, ENCODE, 1000 Genomes, TARGET, GTEX) and diverse genomic annotations
Experience managing large datasets and computational tasks, experience working in a Linux environment (especially a compute cluster environment)
Experience in the field of molecular and population genetics with a strong publication record

Bioinformatics Scientist Resume Examples & Samples

Independently develop novel approaches to analyzing genomic data
Utilize statistical and machine learning techniques to aide in the interpretation of quantitative genomic data
Develop analysis pipelines to process next generation sequencing and other quantitative genomic data
Work closely with more experimentally focused scientists and clinical geneticists to help push forward key company objectives
Apply rigorous scientific and engineering standards to your specialized knowledge and skills
Education (PhD) and experience in a quantitatively focused field (e.g. bioinformatics, computational biology, computer science, bioengineering, statistics, or mathematics), or commensurate experience with a proven ability to function in a role with this level of responsibility
Strong command of statistics and probability and their application to quantitative analyses
2+ years of programming experience with both compiled (Java preferred) and interpreted (Python strongly preferred) languages. Experience with other languages is a plus
Experience and comfort working in a Linux/Unix environment
Proven track record analyzing next-generation DNA sequencing data or performing genomic analyses a strong plus
Demonstrated ability to glean novel/key features from large data sets
Experience performing quantitative analyses on large genomic datasets. Willingness to independently analyze results from a next-generation DNA sequencer and help molecular biologists plan follow-on experiments
Understanding of molecular biology and human genetics / genomics highly desirable
Desire to work in a fast-paced, dynamic environment. Proven teamwork and leadership skills. High creativity. Excellent communication skills and attention to detail
Statistical/population genetics experience a plus
Industry or production next generation DNA sequencing experience (e.g., product development and commercialization) a plus
Experience with sequence variant annotation considered a plus

Bioinformatics Scientist Resume Examples & Samples

Analysis of large datasets such as gold standard datasets and population analysis
Novel Algorithm Development (variant calling, alignment, graph assemblies, de novo callers etc)
Analysis of metrics for existing sequencing instruments and new technologies

Senior Bioinformatics Scientist Resume Examples & Samples

Next gen sequencing data analysis and pipeline development
Data mining and machine learning on large biological data sets
Development of software and analysis tools
Engage in collaborative research and publications
Ph.D. in bioinformatics, computational biology, computer science, or related fields
Familiar with different genomic analysis tools and packages
Strong background in algorithms, data mining/machine learning and statistics
Proficiency in programming in C/C++, Perl/Python, Matlab/R
Familiar with Next Gen sequencing technology, tools and data analysis
Critical problem solving and data analysis
A self-starter, positive, and driven with a “can do” attitude
Excellent communication skills and enjoys to work in a team environment

Bioinformatics Scientist Resume Examples & Samples

Complex genotyping - development and improve algorithms for statistical analysis of paired-end read data to genotype highly polymorphic genes such as those in the MHC and other genomic loci
SNP analysis and mixture deconvolution -- apply best practice statistical/computational methods to analyze large-scale sequencing data to identify SNPs and identify samples of mixed origin
Pipeline development -- design and develop pipelines to automate established analysis so that thousands of studies of same type can be analyzed in a robust manner. Use software engineering skills to seamlessly integrated pipeline software into professional, customer facing tools
Receive assignments from upper levels of management in the form of objectives and determines how to use resources to meet schedules and goals
Proposes and implements methods to extend the technology into new areas
Defines the goals and needs in areas of informatics expertise. Independently handles unexpected technical challenges
Independently resolves issues that arise in multi-disciplinary groups
Analyze massively parallel sequencing (NGS) genomic data
Work collaboratively with other bioinformatics and research scientists to implement QC assessment and standardized analysis protocols for each of the projects as appropriate
Apply statistical data analysis to support assay development experiments and guide experimental approaches
Ph.D. or comparable experience in Bioinformatics, Computational Biology, Biostatistics, Computer Science
Expert knowledge on current bioinformatics/genomics/proteomics resources available at NCBI, Ensembl, UCSC, Broad Institute, etc. Familiarity with HLA genotyping databases such as IMGT
Extensive experience in bioinformatics integration across multiple applied genomics markets such as transplant medicine, forensics, microbiology, agriculture, etc
Strong experience in data analysis, pipeline development, and machine learning
Expert in Perl or Python, R, C#/C++/Java, shell scripting, and MySQL and other database technologies
Must be very detailed oriented
Superior written and verbal communication skills
Ability and willingness to work in a fast paced environment

Senior Bioinformatics Scientist Resume Examples & Samples

Proposes and successfully leads project teams
Communicate findings to the research scientists and present results to the research, development, process engineering, and CLIA teams
Mentors other scientists in the group through technical assistance, goal suggestion, and growth opportunity suggestion

Bioinformatics Scientist Resume Examples & Samples

Minimum of (2) years Postdoctural and/or equivalent Industrial experience
Programming experience (perl, python etc.)
Database experience such as SQL
Research experience with the microbiome

Bioinformatics Scientist, Applications Resume Examples & Samples

Work with R&D and marketing teams to continually improve the bioinformatics capabilities and workflows associated with next generation sequencing data to support use of the platform in general and in strategic application areas
Problem-solve to overcome technical challenges (including basic Linux operation, Pacific Biosciences analysis software, and operation of bioinformatics analysis pipelines)
Train bioinformatics customers and collaborators on PacBio data characteristics, target applications, and PacBio and other open source academic tools

Bioinformatics Scientist Resume Examples & Samples

Explore novel applications of genomic information to plant breeding programs
Collaborate with plant breeders, molecular scientists and IT developers in developing innovative tools
Research and evaluate external solutions, and facilitate their incorporation into Monsanto’s systems
Minimum of Bachelor’s degree in Bioinformatics, Genomics, Genetics, Plant Breeding, Computer Sciences or a related field
Minimum of two or more years of relevant professional experience
Training in Bioinformatics, with familiarity with sequence comparisons, including building multiple sequence alignments and phylogenetic trees
Demonstrated programming and scripting skills in at least one of the following languages: R, Python, Java, Perl, C++
Basic understanding of breeding and genetics
Ability to handle and manipulate large datasets, at a minimum pulling from and/or using relational databases
PhD or Master’s degree in Bioinformatics, Genomics, Genetics, Plant Breeding, Computer Sciences or a related field
Demonstrated programming and scripting skills in several of the following languages: R, Python, Java, Perl, C++
Experience with Next-Generation Sequencing data analysis
Experience with Restful API development
Previous experience in distributed and parallel processing, as well as working in a cloud environment
Previous experience with Plant Molecular Biology, Breeding, and/or Genetics
Demonstrated curiosity and ability to innovate

Bioinformatics Scientist Resume Examples & Samples

Minimum of EITHER a PhD in Bioinformatics, Genomics, Genetics, Plant Breeding, Computer Sciences or a related field –OR- Master’s degree with two or more years of relevant professional experience –OR- Bachelor’s degree in Bioinformatics, Genomics, Genetics, Plant Breeding, Computer Sciences or a related field with five or more years of relevant professional experience
PhD or Master’s degree with two or more years of relevant professional experience
Advanced degree in Bioinformatics, Genomics, Genetics, Plant Breeding, Computer Sciences or a related field

Senior Bioinformatics Scientist Resume Examples & Samples

Collaborate to integrate sequencing and other omics analyses with existing database applications, sample handling workflow, and analysis infrastructure
Analyze and interpret resulting omics data, relevant literature, associated data such as fermentation results, and communicate results clearly to biologists. Help design new experiments as needed
Develop analysis pipelines for genomic and RNA-Seq data from Next-Generation Sequencing experiments
Annotate and analyze genomes and generate biological hypotheses
Develop and/or adopt omics integration and machine learning techniques
PhD, MS or equivalent experience in Computer Science, Molecular Biology or a related discipline
Minimum of three (3)+ years experience and strong interdisciplinary background and ability to interact collaboratively with bench scientists
Experience in pipeline development and one or more of: genome assembly, rna-seq analysis, variant analysis, metabolomics, proteomics
Strong Python software development skills
Experience with REST APIs a plus
Knowledge of databases (SQL, noSQL, graph etc.) and database design needed, Oracle DB experience desired
Experience in high-throughput data analysis, visualization (ActivityBase, Spotfire, Tableau, R, etc.) and interpretation
Experience with Javascript, CSS, and at least one web development framework desired
Algorithm development experience, basic knowledge of statistics required
Experience with machine learning, statistical method development is a plus
Functional knowledge of biological principles including gene structure, gene regulation, and functional annotation
Knowledge of CRISPR, TALEN, and other modern genome editing technologies is a plus
Capable of fostering change in an organization
Deals with conflict in a direct, positive manner
Successful at communicating in both oral and written forms
Fosters constructive dialogue and feelings toward the company, coworkers, and tasks being managed
Maintain a high degree of accuracy and attention to detail

Bioinformatics Scientist Resume Examples & Samples

Consulting and collaborating with internal and external stakeholders for the development and execution of a bioinformatics platform in support of personalized medicine initiatives
Developing algorithms for integrating sequence-based/functional knowledge about genes to help scientists/physicians analyze and interpret genomic data
Assisting in clinical projects related to high-throughput omics data, including next generation sequencing (NGS), microarray (gene expression, microRNA, CNVs, and methylation), and proteomics data
Analyzing genomic and proteomic information and identifying opportunities and needs for innovative solutions for the analysis and management of molecular profiling data in relevant databases
Assisting in the development of software and custom scripts to automate data input, data retrieval, manipulation, and analysis; application of statistics, and visualization tools
Managing key processes involved in IT infrastructure design, database design, interface design, and information processing for personalized medicine initiatives
Maintaining large-scale genomic databases and preparing data for utilization by other scientists/physicians
Monitoring new data from public databases and cleaning loaded data to satisfy quality control criteria
Providing direct technical and scientific customer support and helping to guide, implement and maintain further improvements related to bioinformatics software
Collecting, interpreting and disseminating key intelligence and information relating to bioinformatics to support personalized medicine initiatives
Working with direct reports to ensure the completion of Bioinformatics’ deliverables with high quality and timeliness
Developing and maintaining highly effective, collaborative relationships with key stakeholders, as appropriate (SCRI personnel, key opinion leaders, clients, etc)
Proactively handling conflict of interest issues
Basic understanding of the integration of bioinformatics, statistics, and informatics
Basic understanding of standard tools and procedures for performing bioinformatics on next generation sequencing data
Knowledge of mixed operating systems environments (e.g. UNIX, Windows, etc.)
Understanding of oncology data models
Bioinformatic skills in processing/analyzing/interpreting Next Generation Sequencing data
Computer skills in various programming languages like Perl, R, C#, etc
Ability to process, analyze, integrate, and display different data types (e.g. clinical, molecular, etc…)
Excellent communicator with well-developed interpersonal skills; ability to develop collaborative relationships; excellent oral, written and presentation skills
Leadership skills; communicates and demonstrates vision and commitment
Proactive approach
Commitment to individual and team success
Commitment to continuous learning
3 years of experience in biostatistics and bioinformatics (preferably involving next generation sequence data analysis) and algorithm development in related disease areas, ideally through dealing with data from clinical studies

Bioinformatics Scientist Resume Examples & Samples

Develop and apply novel statistical, bioinformatics, and data mining algorithms and applications
Develop and implement methods for assembling, phasing, annotating and characterizing human genomes at an industrial scale
Carry out association analyses with sophisticated genotypic, microbiomic, metabolomic, proteomic and phenotypic information
Ph.D in Bioinformatics, Computational Biology, Statistics, Computer Science or closely related fields with a focus on applications of next generation sequencing (NGS)
Strong programming skills, and the ability to design and prototype computational algorithms in C++, Python, R, Java, or C#
Comfortable in a Linux environment
Collaborate with diverse scientists from computational and experimental backgrounds
Demonstrates excellent verbal and written and communication skills
Experience working in cloud environment, Amazon Web Services (AWS) preferred
2+ years’ experience in a startup organization
2+ years post-graduate experience
Publications demonstrating expertise in one or more of the following: assembly, phasing, structural variant identification, SNP calling, genome annotation, or GWAS

Bioinformatics Scientist Resume Examples & Samples

Bachelor’s or Master’s degree in biology, microbiology, biochemistry, bioinformatics or related discipline AND at least 2 years of work experience
Strong analytical and computational experience with both the generation and analysis of multiple ‘omics data types
Experience in cell biology, molecular biology, analytical chemistry, bioinformatics, statistics and routine R programming
Demonstrated evidence of the ability to lead peer-reviewed publications and manage individual tasks on projects

Computational Bioinformatics Scientist Resume Examples & Samples

PhD in Computer Sciences, Electrical Engineering, Computational Biology or equivalent, or an MSc and at least 3 years of relevant research experience
At least 3 years of experience in bioinformatics research including DNA/RNA NGS data analysis
Strong programming skill in one or more languages: R, Python, Perl, Shell, C, Java, JavaScript, etc
Development of bioinformatics tools and algorithms in areas, such as NGS read alignment, SNV/indel/CNV/expression calling, gene pathway analysis, multi-omic integrative data analysis, epitope prediction, etc
Machine learning or deep learning on genomics, transcriptomic or epigenetic data
Big data analysis and cloud-based computing, large-scale web-based software integration involving technologies such as NodeJS, AngularJS, ExpressJS, No SQL database, etc
Advanced areas, such as single-cell sequencing, tumor heterogeneity, liquid biopsy, etc
Candidates currently in academia or industry are welcome to apply
Evidence of a strong research output through impactful publications or equivalent

Senior Bioinformatics Scientist Resume Examples & Samples

Provide scientific and applications feedback to development, marketing, and sales
Assist customers and collaborators in experimental design and analysis to promote the use of the Pacific Biosciences instrumentation in their laboratories
Conduct scientific presentations to internal and external audiences

Bioinformatics Scientist / Systems Analyst Resume Examples & Samples

Gather customer and stakeholder feedback, requests and needs from product managers and subject matter experts
Distill requests into concrete software feature specifications, requirements and user stories for implementation by the development team
Can-do attitude to roll up sleeves and do what it takes to help the team succeed
Meticulous nature in documenting requirements and needs
Ability to challenge or push back at “scope creep” where applicable, and escalate if needed
Positive, teamwork-oriented attitude to collaborate with technical as well as product management personnel to balance differing opinions and make the right decisions
Bachelor's Degree in Bioinformatics, Biology, Computer Science, Information Systems or equivalent (PhD or Master of Science/Engineering highly valued)
Demonstrated experience in documenting requirements and Agile user stories
Demonstrated experience interacting with product managers and subject matter experts to gather requirements and business needs, and ability to perform designated tasks in a timely manner
Previous experience in working with a Scrum team and developing software in an Agile framework
Experienced with Atlassian tools (JIRA, Confluence)
Clinical process/regulatory environment exposure highly valued though not required

Senior Bioinformatics Scientist Resume Examples & Samples

Provide analytical and data-processing services to Research department for the research and development of new products, including NGS, protein assays, etc
Analysis and verification of oligonucleotides for identification of target genes and their expression
Update technical specification for customer-facing product documentation
Manage and query data in SQL database
Collect, clean and manage data from various sources
Light scripting and programming work, where needed, to create software tools to assist in process efficiency
Write, amend, and edit requirements as input for software development projects
Develop, modify and execute software test plans and test cases for data analysis software
Use available software tools and applications to assist in performing tasks
Write accurate and detailed standard operating procedures for duties within work group
Interact with Research, Production, and IT staff, as well as may interact with customer support at times
Bachelor’s degree from an accredited higher learning institution required, with studies in Bioinformatics, Life Sciences/Molecular Biology, Computer Science or related field AND 5 years of relevant work experience; OR Master’s degree and relevant work experience
Knowledge of bioinformatics, molecular biology, serology, bio-statistics or other bio-scientific discipline
Aptitude for DNA sequence data analysis
Aptitude for creative problem-solving
Knowledge of programming languages, such as C#, VB/VBA, MATLAB, R, Perl, SQL Scripting helpful
Ability to work quickly and accurately with detailed technical data
Ability to write original material from technical specifications, interviews, and hands-on use of software
Must communicate clearly in writing and orally

Bioinformatics Scientist Resume Examples & Samples

Design assays for custom targeted sequencing panels for external and internal researchers
Develop, maintain, and operate bioinformatics pipelines for assay design, data mining and analysis
Improve the designs by iterative analysis of the sequencing data obtained. Develop heuristic rules and algorithms to improve the design pipeline
Analyze sequence data and mine public databases for sequence content
Work with the software team to deploy customer facing design pipelines
Collaborate closely with the molecular biologists, product management, sales, experimental researchers and other members of the Bioinformatics team
Work closely with external customers to understand and provide the best design solution that meets their needs
This position requires the knowledge and skills normally acquired through completion of a MS/PhD in Bioinformatics, Computational Biology, Computer Science, Genomics or related field. Three years of relevant working experience is required
The candidate must have experience in Perl programming, shell scripting and SQL
The following are also required: hands-on experience with the relevant sequence analysis tools (e.g. Blast, Clustalw, bowtie, etc.); an excellent understanding of genomic databases and their annotations (GenBank, RefSeq, ENSEMBL, dbSNP, UCSC genome browser); a good understanding of the biology behind genotyping, gene expression profiling, comparative genomics and genetic mapping; an appreciation of the use of statistical methods and mathematical models in the interpretation of biological data; experience with next generation sequencing data
Excellent communication and organization skills are highly desirable
This position requires travel to China and involves regular meetings outside normal business hours with customers and business colleagues in China
Must be fluent in Mandarin

Bioinformatics Scientist Resume Examples & Samples

Data mining in Affymetrix’ proprietary database and public database
Genotyping microarray design in collaboration with customers and researchers
Analysis of large datasets, including internal data and customers’ experimental results
Development of algorithms for genotyping, improvement of current and development of new QC metrics, assessing and improving probe performance through novel probe design
Interacts with scientists across the organization
Presents results both internally as well at scientific meetings and conferences
Participates in process and operation improvement opportunities
Responds to internal and external inquiries
Complies with company quality management systems, policies and procedures
Provides mentorship, if applicable
Additional duties/responsibilities according to business needs

Bioinformatics Scientist Data Analytics Resume Examples & Samples

Statistical Data Mining of large Biological datasets
Mathematical/Statistical modeling of metabolic processes
Use of statistical methods to integrate diverse -omics data and discover novel associations
Ph.D. and a minimum of two years of postdoctoral training in Statistics, Bioinformatics or related fields
Experience in cutting-edge Data Analytics methods and/or method development
Strong linux skills and programming ability in at least one of the following: R, Python, C/C++, Java, or Perl
Productivity demonstrated through a track record of publications and /or patents
Effective written and oral communication of scientific results

Bioinformatics Scientist Resume Examples & Samples

Master’s degree in bioinformatics/computational biology
7+ years of experience bioinformatics/computational experience with a background in transcription, chromatin, biology or development
Proficient in Unix, R, and at least one commonly-used programming language - Python preferred
Ph.D. strongly preferred
Experience with algorithm development and methodological research, including ability to program in at least one compiled language
Ability to develop novel statistical methods to quantify omics data
Knowledge of the experimental complexity that underlies problems quantifying omics data
The ability to be able to distill the essential information to quantify an experiment from interactions with experimentalists
This position involves daily interaction with researchers and faculty. It is essential to be able to explain and discuss complex topics clearly and be able to interact well with others
Familiarity with compute clusters and scheduling systems. Large-scale analysis

Bioinformatics Scientist Resume Examples & Samples

Advanced genomic analysis of complex variants from plant and animal genomes
Data mining in large internal and external databases
Data analysis of complex datasets from our internal R&D labs as well as customer data
Creating/maintaining internal software tools and methods
Implementation of algorithms, including prototypes for commercial software development
Development of new methods for resolving problems/issues
Analysis consultation with Affymetrix scientists
Communication of analyses and results to expert audiences
Experience with big data and statistical analysis
Ability to query database with SQL
Experience with microarray analysis is desirable
Experience with the genetics of complex plant and animal genomes is a plus
Experience with modeling of data for microbiome analysis is a plus
Excellent communication skills and ability to work in a multidisciplinary team

Bioinformatics Scientist, Microbiome Resume Examples & Samples

Develop and implement methods for microbiome annotation and profiling at an industrial scale
Support microbiome product development and technical operations
Conduct microbiome research and development with HLI’s business partners and collaborators
Strong programming skills and the ability to design and prototype computational algorithms in C++, Python or Perl, R and other computer languages
Solid skills in relational databases such as MySQL and PostgreSQL, capable of architecting complicated schema
Prior experience working with large-scale genetics and genomics datasets (Big Data)
Must have excellent familiarity with computational, statistical or mathematical methods
Experiences in a Linux environment and high performance computing environment
Experiences in collaborative software development
Established track record applying innovative methods to drive project success
Demonstrate outstanding personal initiative and the ability to work effectively as part of a team
Experience in analyzing metagenomics, microbial genomics, and metabolomics data
Publications demonstrating expertise in one or more of the following: genome assembly, genome annotation, metagenomics data analysis, microbiome and disease association study

Bioinformatics Scientist Resume Examples & Samples

Master's degree in bioinformatics/computational biology
7+ years of bioinformatics/computational experience with a background in next generation sequencing analysis
Experience of modeling biological networks and knowledge of the different approaches currently used
Experience working on large compute clusters and knowledge of job scheduling software
Experience developing novel statistical techniques for biological data
Experience in the field of brain research, psychiatry beneficial

Bioinformatics Scientist Resume Examples & Samples

Develop and apply novel statistical, bioinformatics, and data mining algorithms to identify biological patterns
Possibly perform in Bioinformatics Sequencing Production capacity
Lead, coach, and mentor scientists in the design and execution of innovative research programs
Relational database experience: Oracle, Microsoft SQL Server, Postgresql, or MySQL
A second language

Bioinformatics Scientist Resume Examples & Samples

Develop novel methods for assessing and comparing whole-genome sequence data and
Collaborate with our clinical lab to improve sequence analysis with an aim towards solving undiagnosed disease cases
Apply population genetics theory to large cohorts to develop novel methods of assessing data quality and improve variant calling pipelines
Develop methods to analyze sequence data as part of a larger population (pedigree or global) for improved variant calling
Critically evaluate variant calling and annotation pipelines to identify and fill gaps
Software/algorithm design and prototyping
Participation in sequencing analysis/methods development communities
PhD in bioinformatics, statistics, genetics, physics or related field of study
Strong understanding of statistics and statistical methods
Experience analyzing next-generation sequencing data
Expertise in high-performance software development using C++, Python, C#, C or Java
Exceptional ability to present methods in the research community via publication, conference and personal communications

Bioinformatics Scientist Resume Examples & Samples

Independently design and conduct analyses of genomic data
Build robust and scalable software (e.g. pipelines) to process large genomic data sets both locally on an HPC cluster and in the cloud
Help support clinical and laboratory team in the processing of next generation DNA sequencing data
Utilize statistical techniques to aide in the interpretation of quantitative genomic data
Education (PhD or MA/MS/ME) and experience in a quantitatively focused field (e.g. bioinformatics, computational biology, computer science, bioengineering, statistics, or mathematics), or commensurate experience with a proven ability to function in a role with this level of responsibility
1+ years of programming experience with Python (preferred) or another interpreted language (e.g. Perl or Ruby). Experience with other languages is a plus (including at least one compiled language)
Experience building software to run on AWS EC2 system or another cloud-based system
Comfort with best practices in software engineering a strong plus
Experience performing quantitative analyses on large genomic datasets

Assoc Bioinformatics Scientist Resume Examples & Samples

Algorithm development -- development of algorithms for statistical analysis and meta-analysis of vast amount of studies across various data types and platforms for basic research, drug discovery and clinical applications
Database integration -- compilation and integration of the most up-to–date bioinformatics/genomics/proteomics resources used to analyze and interpret diverse types of omics data
Data analysis -- apply best practice statistical/computational methods to analyze large-scale biological data, such as gene expression, copy-number, mutation, methylation, NextGen sequencing, GWAS, etc
Pipeline development -- design and develop pipelines to automate established analysis so that thousands of studies of same type can be analyzed in a robust manner
Ph.D. in Bioinformatics, Computational Biology, Biostatistics, Computer Science
Experience in bioinformatics integration across genomics, proteomics, genotyping and sequencing data type
Experience in data analysis and pipeline development
Expert in Perl or Python, R, shell scripting, and MySQL

Bioinformatics Scientist Resume Examples & Samples

M.S. and 2+ years of post degree work experience or Ph.D. in a biological science
3+ years of experience using bioinformatic software tools such as FASTA, BLAST, STELLAR, Bowtie and CLUSTAL in a Unix/Linux command line environment
Proficiency in a Unix/Linux command line environment that includes extensive knowledge and at least 4 years of hands on experience using shell, PERL and at least one object oriented, event driven language
Demonstrated programming skills that include production of well-structured, easily maintainable and fully documented code
Intermediate level knowledge of Microsoft Word, Excel and PowerPoint
Excellent written language skills are required as this position entails production of very large (>1000 pages) complex technical documents that are provided to regulatory agencies around the world
Attention to detail and an ability to multitask to meet business critical timelines on an ongoing basis

Senior Bioinformatics Scientist Resume Examples & Samples

Propose and successfully lead project teams
Receive assignments from upper levels of management in the form of objectives and determine how to use resources to meet schedules and goal
Propose and implement methods to extend the technology into new areas
Define the goals and needs in areas of informatics expertise. Independently handle unexpected technical challenges
Independently resolve issues that arise in multi-disciplinary groups
Mentor other scientists in the group through technical assistance, goal suggestion, and growth opportunity suggestion
PhD in Computational Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Physics or related field
Must have minimum of 5 years’ experience in bioinformatics in Life Sciences, Genomics or Pharmaceutical industries and
2+ years of managerial experience overseeing bioinformatics scientists
Willing to dedicate time to implement QC assessment and standardized analysis protocols
Strong programming with R/Bioconductor and Python
Experience with building, supporting, and using bioinformatics pipelines
Experience with Perl, Python or other scripting languages
Experience with genomic analysis of sequencing data
Experience with machine learning, Bayesian statistics, clustering/classification, multivariate analysis
Experience with developing LDT and/or IVD
Ability to work independently with minimal supervision
Must be independent and strategically minded

Bioinformatics Scientist Resume Examples & Samples

Designing statistical and machine-learning models to analyze sequencing data in the context of rare/undiagnosed disease and cancer
High performance software/algorithm design and prototyping
Analysis of error modes and actionable patterns in large-scale data sets
Participation in clinical and population genomics research and methods development communities
Ph.D. in computer science, statistics, bioinformatics, or related field of study
Experience developing novel inference and/or machine-learning models
Expertise in algorithms and software development using C++/C#/Java or similar
Superior ability to present methods within the scientific community via publication, conference and personal communications

Bioinformatics Scientist Resume Examples & Samples

Collaborating with scientists to design genetic studies
Analysis of data (including quality control, data management) to identify variants/gene contributing to disease susceptibility and treatment outcomes
Interpretation of findings to uncover novel therapeutic targets and biomarkers of disease heterogeneity
Presentation of the work at internal meetings and external conferences
Manuscript writing
Data analysis to include: processing large-scale whole-genome/exome/RNA sequencing data, GWAS, linkage, eQTL, differential gene expression analyses, and application of functional genomic annotations and pathways/gene-networks

Bioinformatics Scientist Resume Examples & Samples

Utilize and integrate both Pacific Biosciences tools and open source academic tools to help analyze data for internal and customer projects
Document bioinformatics workflows and pipelines for use by a wide audience
Assist sales and support in pre-sales functions as well as working with customers to understand and integrate their work flows

Bioinformatics Scientist Genomics & Sequencing Resume Examples & Samples

Algorithm development – develop algorithms for analysis of vast amount of studies across various data types and platforms for translational research and clinical applications
Pipeline development – design and develop pipelines to address novel analytical challenges and to automate established analysis so that thousands of studies can be analyzed in a robust manner
PhD in Bioinformatics, Computational Biology, Computer Science
3 - 5 years’ experience in bioinformatics integration across genomics, proteomics, genotyping and sequencing data type
Expert knowledge on current bioinformatics/genomics/proteomics resources available at NCBI, Ensembl, UCSC, Broad Institute, etc
Strong experience in data analysis and pipeline development
Strong knowledge of machine learning algorithms, and comfortable with big data manipulation
Expert in Python, R, HPC, and/or C/C++/C#
Ability to contribute independently and collaboratively, and to excel in a fast-paced environment
Background in oncology or clinical experience

Bioinformatics Scientist Resume Examples & Samples

3+ years of statistical analysis in an industry setting
Excellent understanding of computer science fundamentals, data structures, and algorithms
Good coding skills in R, Perl or Python, BASH, Java or C++, C# or similar
Expertise in data mining, information retrieval, text mining
Track record in combining analytic methods with advanced data visualizations
Ability to breakdown and clearly define problems
Ability to work with minimal supervision to find solutions to complex problems
Experience with NGS and NIPT preferred
Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
Cluster large amounts of R&D and clinical laboratory generated content
Perform machine learning, and statistical analysis methods, such as classification, collaborative filtering, association rules, time-series analysis, regression, statistical inference, and validation methods
Design and develop novel algorithms to mine through massive volumes of genetic data

Bioinformatics Scientist Resume Examples & Samples

MS/PhD in Bioinformatics, Computational Biology, Statistics with 3+ years’ experience OR BS in molecular biology and 5+ years’ experience in a bioinformatics related field
Demonstrated understanding of experimental design and sequence analysis
Experience with Unix/Linux HPC environment
Demonstrated programming experience in one or more of: Python, C#, R or JavaScript
Experience in developing and querying large database systems including MSSQL, MySQL, and NoSQL databases
Able to use and develop scalable REST APIs
Clear understanding of bioinformatics tools used for alignment, variant calling and genome annotation
Experience in visualization and mining of large and complex datasets of biological relevance

Junior Bioinformatics Scientist, Sequencing Resume Examples & Samples

Collaborate with other teams to generate insights from their experiments
Quickly writing scripts to automate routine analysis tasks
Creating insightful, simple graphics to represent complex trends
Generate and automate analysis routines and reports to track performance of sequencing
Contribute to improvement and maintenance of analysis pipeline

Bioinformatics Scientist Resume Examples & Samples

Creation of novel sequence analysis workflows (i.e. read alignment, variant calling, and variant annotation) to support both research and clinical products
Design, prototype, and implement computational algorithms that utilize both statistical and machine learning approaches
Software optimization at the design, algorithm, and source code level
Identify opportunities to improve the bioinformatics user experience and implement solutions
Collaborate with internal project teams and with external organizations
Contribute to the bioinformatics open source community

Bioinformatics Scientist Resume Examples & Samples

Perform data mining, analysis, and integration on genomic data from Bionano, NGS, and other high-throughput platforms (microarray, aCGH, physical/genetic mapping etc.)
Extract features of interest from data relating to specific biological questions
Design, implement, and validate analysis pipeline and algorithms, and provide written documentation
Contribute to presentation of methods, results, conclusions, and recommendations
Work closely with Research and Development on internal and external projects
M.S. in statistics, bioinformatics, genomics or computational biology
0-2 years of post-doctoral experience
Experience with one or more of the following: Python, Perl, and R
Knowledge in statistics, modeling, and machine learning
Knowledge in basic biological processes and genomics
Working knowledge of laboratory protocols relevant to sequence analysis
Ability to multi-task and shift priorities according to company needs in a fast-paced environment

Bioinformatics Scientist Resume Examples & Samples

Perform clinical correlative studies that will assist in identification of novel biomarkers
Collaborate with other scientists at CGI to develop novel algorithms/decision trees that when applied to genetic analysis, will have diagnostic and prognostic value tailored for specific tumor types
Harmonize pipelines and overall analysis and reporting strategies for CGI’s menu of next generation sequencing laboratory developed tests
Contribute to aggregating multiple datasets from various technologies (NGS, flow cytometry, FISH/Cytogenetics, IHC, etc.) to analyze and report, both as patient-level reports and as larger data transfers in a regulated environment
Attend, contribute, and report findings at weekly scientific review meetings
Ph.D. in Bioinformatics or Biological Sciences, strongly preferred
Three years Bioinformatics experience, with a strong background in cancer biology and genetics, including advanced training or experience in pharma, biotech, laboratory service provider, or diagnostics environment
Working experience in Microbiology, DNA Technology, Analytical Biochemistry, Microbial Bioreactor Engineering, Mathematics for Biotechnologists, and Mathematical Statistics
Working experience in a CAP/CLIA/FDA regulated environment
Advanced knowledge of next generation sequencing, including RNA-Seq, datasets, and analysis pipelines
Excellent work ethic, self-starter, with a high level of accountability, and the ability to work independently, as well as collaboratively within a team
Strong organization skills with the ability to manage multiple projects within established timelines, and the flexibility to change directions quickly
Strong analytical skills with the ability to understand and resolve complex issues
Strong professional communication skills, including written, verbal, and presentation, with the ability to share ideas, and influence all levels within the organization
Strong computer proficiency with a variety of systems, including MS Office Suite, an Lab Information Management Systems (LIMS)

Bioinformatics Scientist Resume Examples & Samples

Develop machine learning methods and/or computational algorithms to infer insight full biological information from Next Generation Sequencing data
Big Data analyses/mining over internally produced and publicly available very large data sets
Perform statistical and bioinformatics analyses of experimental data produced by Next generation sequencing instruments, and other genome sequencing methods
Provide analysis information to management to aid in decision making on the development of new laboratory developed tests
Participate in designing and conducting Verification and Verification studies
Work closely with molecular biologists during assay development and optimizations
Collaborate with the software team to build R&D and clinical pipelines
Provide bioinformatics support for the commercial launch of molecular diagnostic tests
At the senior level, perform the role of technical lead and manage and mentor junior scientists

Bioinformatics Scientist Clinical Services Lab Resume Examples & Samples

Improvements to ICSL’s TruGenome Undiagnosed Disease software solution (Nussetti)
Visualization of Copy Number and Structural Variants to enable curation and interpretation
Contribution to development of ICSL’s Variant Interpretation Tool (VIT)
Contribution to the ICSL software development vision and strategic direction. Particularly, engage in the definition of requirements related to integration with electronic test requisition, platform storage of common data and clinical metadata, development of a genomic health record
Gather requirements from genetic counsellors and medical geneticists for implementation of software solutions
Participation in research around evaluation of bioinformatics variant calling tools (Strelka & SPW)
Working knowledge of Python, C#, JavaScript, Angular, d3.js, HTML, CSS
Familiarity with NGS data output formats (BAM, VCF, etc.). Knowledge of Illumina annotation software and outputs, such that the software can be used to generate the required outputs for visualisation
Familiarity working in a regulated environment
Up to date understanding of the outputs of the current Illumina pipelines including the Northstar 4, 5 and 6 pipelines, such that the outputs can be used for visualization purposes
Ability to see the big picture but also dive into details and move from idea to production ready software product
Solid communication and team working skills

Bioinformatics Scientist Resume Examples & Samples

Ph.D. in computer sciences, computational biology, bioinformatics, mathematics, statistics, or a closely related field and a master or bachelor's degree in biological sciences or equivalent
Extensive experience working on large biological data sets (e.g. microarray, SNP, proteomics, whole genome sequences; microbiome characterization)
Broad experience in using systems biology approach for the interpretation of cellular processes, and/or biomarker discovery. Demonstrated skills in applying/developing/improving machine learning and pattern recognition algorithms for large scale biological data
Experience in one or more of the following areas are highly desirable: biological image analysis, metabolic flux analysis, GWAS data analysis, text mining and biological network inference
Extensive programming skills in C/C++, Java, Python, R, and Perl

Bioinformatics Scientist Resume Examples & Samples

Use standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan
Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances
Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resources
Provide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status
Within the context of the collaboration or project, develop and apply best practices to code development
Contribute to and influence project-level management by serving as bioinformatics point
Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms
Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role
Develop new collaborations with high degree of supervision
BS/MS/PhD in biological or computational discipline
3-7 years’ experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation
Strong UNIX/LINUX expertise required
Proficiency in R or similar commonly used bioinformatics language required
Experience with management and analysis of complex data types required
Proficiency in various open source and commercial bioinformatics resources and software required
Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required
Experience with Python, Perl, or other languages preferred
Experience with pipeline or workflow development frameworks preferred
Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture preferred
Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred
Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is preferred

Bioinformatics Scientist Resume Examples & Samples

Establish requirements with the project team
Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption
Advocate for chosen strategy to project team by showing value of approach
Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations
Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews
Experience with genomic/proteomic data analysis methods required
Experience with Python, R, or other programming languages preferred

Bioinformatics Scientist Resume Examples & Samples

MS or Ph.D. In a biological, computational or related discipline
At least three to five (3-5) years experience in applied bioinformatics, genomics and computational work
Working experience with next generation sequencing data using common tools, including BWA, Novoalign, STAR, GATK, freebayes, samtools, Picard, SnpEff, bedtools, tabix, and other tools and resources, e.g. sequence retrieval, alignment and clustering techniques, expression profiling and protein related analysis, using major databases and data standards in the field
Working knowledge and deep understanding of algorithms, data structures, and scientific programming, including workflow management packages
Proficiency with the minimum programming languages of Python, Perl, and R
Pipeline development, analysis, and troubleshooting experience with multi-omics data including whole genome and exome, RNA-Seq, targeted sequencing, ChIP-Seq, ATAC-Seq, SNP and methylation arrays
Proficiency in Unix/Linux operating systems
Ability to work efficiently on multiple projects
Strong working knowledge of statistics including but not limited to hypothesis testing tools, power analysis, and the ability to aid researchers in experimental design
Ability to communicate scientific and informatics concepts to a wide range of audiences
Ability to work independently with minimal guidance while consistently exercising good judgment
Ability to work in a academic team environment
Excellent interpersonal skills to interact with both research and technical staff
Familiarity with repositories of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases
Experience in high performance computing and cluster environments and cloud computing is highly desirable
Knowledge and biological understanding of common library preparation technologies, including those from CGI, Illumina, and LifeTechnologies
Ability to independently research different analysis tools and parameters within each to come up with the most appropriate tool and workflow for answering relevant biological questions (e.g.: testing multiple algorithms for sensitivity and specificity)
Prior experience in oncology is very desirable but not required
Strong working knowledge or training in advanced biomedical research
Knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture
Familiarity with broadly used machine learning algorithms

Associate Bioinformatics Scientist Clia Lab Software & Systems Resume Examples & Samples

Help in configuration and interpretation of data analysis NGS results to support current CLIA lab operations and assay development experiments
Help design and interpret statistically powered studies to support test/lab improvements
Assist in analysis of massively parallel sequencing (NGS) genomic data
Work collaboratively with other bioinformatics and research scientists to support QC assessment and standardized analysis protocols for each of the projects as appropriate
Work with the Bioinformatics team to implement new analysis methods in the pipelines based on R&D prototypes
Coordinate tasks such as collection of requirements, software verification and validation
Communicate findings to the research scientists and present results to the R&D, process engineering, and CLIA teams
Develop new lab reports or customize existing ones to meet specific scientific project needs
Master’s degree in Bioinformatics, Computer Science, Statistics or related
Must have minimum of 2+ years’ experience in a similar position including general experience in Life Sciences, Genomics, CLIA lab or Pharmaceutical industries
Experience with supporting / using bioinformatics pipelines
Experience with R, Java, Perl / Python or other scripting languages
Experience with statistical and mathematical modeling with genomic data
Experience with LIMS and databases MS SQL and Postgres
Expertise with issue tracking and revision control systems
Understanding of security and privacy considerations
Experience with implementation of xGMPs, CLIA and FDA guidelines in a regulated/design controlled environment
Experience with genomic analysis of sequencing data – ChIP-Seq, RNA-Seq, GRO-Seq
Experience with molecular diagnostics, particularly NIPT is highly desirable
Must have proficient written, communication and presentation skills with the ability to present to both scientific and corporate audiences

Bioinformatics Scientist Resume Examples & Samples

Working in the production analysis group to understand and deliver large volumes of high quality data
Executing well-defined analysis workflows, with the scope to improve or automate them
Use and maintain core analysis infrastructure, web reporting and documentation
Writing or preparing prototype code for deployment in a production environment
Adhering to the ISO:15189:2012 Quality Management System
A bright, enthusiastic attitude with the ability to implement practical solutions
Confident in a Linux environment
Practical experience with Python / Perl scripting languages
Ability to deliver within fixed deadlines
Excellent problem solving skills and ability to learn quickly on the job
Have an interest in understanding biology and disease
Relational databases and database API technologies such as ORM
High-performance computing environments using SGE, LSF or Amazon EC2
Software engineering productivity tools like version control and issue tracking
Working under a Quality Management System
Experience of NGS bioinformatics analysis

Bioinformatics Scientist Resume Examples & Samples

Experience analyzing biomarkers and developing scientific hypotheses based on disease pathogenesis and drug MOA in the areas of oncology
A proven background interpreting biological findings from studies
Ability to interact in a cross-functional environment and strong oral and written skills are required
Must have strong publication record with proven ability to lead writing of manuscripts
Ability to multitask and work effectively with scientists from translational oncology and RIA

Senior Bioinformatics Scientist Resume Examples & Samples

Translating clinical and molecular pathologist input into gene target regions for panels
Review curated databases of genetic variants to prioritize target regions by clinical importance in terms of cancer progression, prognosis, and drug resistance
Review scientific evidence on the impact of genetic alterations on cancer progression and drug resistance
Develop assay design summary and comparison materials for marketing and development efforts
Provide NGS bioinformatics leadership and support to the NGS programme
Refine and run next generation sequencing analysis pipelines for panel development purposes, using QIAGEN BioX software
Liaise closely with project and scientific staff on next generation sequencing PCR assay design and development, data processing and reporting
Provide inputs into study design for assay development
Analyse genomic data and reports results. Develop SQL / Python based programs for wet lab validation data analysis and content comparisons

Field Bioinformatics Scientist Singapore Resume Examples & Samples

Assist customers in experimental design and subsequent experimentation to initiate and validate the use of the Pacific Biosciences instrumentation in their laboratories
Could include utilizing and integrating both Pacific Biosciences tools and open source academic tools to help analyze data
Provide feedback and be a part of improving informatics pipelines and solutions
Work with marketing to define/develop models for competitive positioning of SMS technology
Work with the customer and with internal R&D scientists to analyze data from next generation sequencing experiments
Work with R&D teams to continually improve the bioinformatics capabilities and workflows associated with next generation sequencing data to support use of the platform in general and in strategic application areas
Team player who can effectively integrate internal and field based activities across functions to support customer requirements
Support data analysis needs for collaborations, services and application development projects
Develop a bioinformatics training plan, presentation materials and technical documentation
Develop bioinformatics related sales tools such as application notes and white papers
Participate in publishing novel bioinformatic results in scientific journals

Clinical Bioinformatics Scientist Resume Examples & Samples

Ensure successful completion of bioinformatics pipelines
Develop custom pipelines as needed
Reconcile sequencing data with the expected list of samples from the Laboratory Information Management System
Implement the automated assessment of quality control metrics, in iterative consultations with the bioinformatics team
Identify poor-quality samples and escalate to lab scientists and bioinformatics analysts
Facilitate multi-project comparisons of data quality metrics
Transform primary results into finalized Data Transfer Specification formats
Deliver finalized data to bioinformatics analysts
Collaborate with Data Management to populate clinical databases

Bioinformatics Scientist Resume Examples & Samples

Provide bioinformatics expertise towards the analysis and interpretation of genomics data and next generation sequencing experiments
Design and development of bioinformatics platforms to maximize the use of in-house and public datasets
Interact with other scientists across the organization to use genomics to drive efficient and effective product discovery and development
Work in a team environment on lab projects to analyze genomics data, evaluate results and prepare reports for presentation
Prioritize and complete research in a timely, reproducible manner independently and within teams
Written and verbal communication skills are essential along with an ability to collaborate effectively with both laboratory and field scientists
MS degree or PhD degree in Bioinformatics, Computational Biology, Biology or equivalent
Experience with bioinformatics software and techniques involved with analysis of large next generation sequencing datasets is required
Knowledge of Perl, Python or other scripting languages
Knowledge of working in a unix environment
Knowledge of R for data interpretation and analysis

Bioinformatics Scientist Resume Examples & Samples

Develop algorithms for processing, analyzing, and visualizing genomic information or other biological information
Package in-house algorithms into pipelines, benchmark them using test datasets, release them to be freely available for scientific community use, and update them as needed
Build hardware-based bioinformatics solutions, deploy software and hardware solutions in austere environments (including overseas laboratories) and then work as part of a team to provide remote user-support when necessary
Analyze high-throughput biological data, present research data at scientific conferences; write manuscripts to be published in peer-reviewed journals; keeps abreast of scientific literature; and prepares grant proposals with PI and scientists
Manipulate and process raw sequencing data from in-house Next Generation Sequencing (NGS) platforms (MiSeq, NextSeq500, Ion S5, PacBio, MinION), microarray platforms (Agilent), publicly accessible databases, and/or external collaborators
Summarize research data, prepare posters, and/or present results via conference presentations, scientific publications, or project reports
Assist PIs and scientists in writing grant support to novel lines of research in Bioinformatics
Assist junior Bioinformatics Analysts and Laboratory Research Associates as needs arise
Attend international, national, and internal meetings and teleconferences
Maintain a safe work environment with appropriate training of other personnel

Oncology Bioinformatics Scientist Resume Examples & Samples

Working closely with clinical teams to analyze and interpret biomarker data from clinical trials (e.g. next-gen sequencing, IHC, proteomics)
Contributing to translational research efforts by working with teams to digest clinical study findings, and by supporting translational genomics, model characterization, and data mining efforts
Working with drug discovery teams to apply genomic profiling to target discovery, drug mechanism elucidation, and patient stratification efforts
Implementing and developing state-of-the-art computational methods and data mining strategies to address key challenges in oncology drug discovery (e.g. drug resistance, difficult-to-drug targets, harnessing anti-tumor immunity)
Formulating testable hypotheses, and collaborating in the design of rigorous experiments

Bioinformatics Scientist, Cancer Genomics Resume Examples & Samples

Become the subject matter expert on our clinical and genomic data and its capabilities
Generate insights and evidence that link tumor genetics with longitudinal treatment and outcomes data. Use robust statistical methods and compelling data visualizations to make insights accessible to a wide range of end users
Define and clarify analytic requirements, develop analysis plans, ensure data quality standards, and create publication-ready methods and results
Work with cross-functional team to understand and clarify analytic requirements and identify areas for automation and process efficiencies

Bioinformatics Scientist Resume Examples & Samples

Works with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows
Maintains pipelines by staying current with evolving algorithms and standards and incorporating into pipeline
Executes robust development testing for commonly used applications such as data processing pipelines
Optimizes performance of applications by working with scientific computing and information systems groups to optimize hardware/software parameters
Defines and prioritizes requirements for pipeline development over time to incorporate new technologies and platforms via functional communication with bioinformatics group members and bioinformatics end users
Identifies appropriate open-source and commercial products that serve needs of pipeline and/or customized analyses of end users
Implements and maintains commercial and open-source software for common bioinformatics and genomics data analysis
Implements, updates and maintains locally stored data resources required for various analysis tasks
Provides ad hoc support and one-on-one and group-based training on key bioinformatics software, features, and workflows
Provides efficient data management support including file transfers, data formatting and manipulation, and basic integration of data from a variety of experimental and reference resources
Develops and maintains working relationship with data providers such as sequencing cores within CHOP and infrastructure groups such as information systems
Continually keeps abreast of evolving data generation platform fundamentals, file-specific information representation, and strategic application of code base to optimize value of data
Maintains working knowledge of available commercial and openly accessible knowledge bases as they apply to bioinformatics analysis
Implements, maintains, and regularly contributes to formal and bioinformatics group-centralized code management system
Adopts appropriate forking and other strategies for robust code development. Apply to general bioinformatics group code base
Adopts best practices for code development consistent with larger bioinformatics group. This includes choice of language based on the type of solution being developed, the likely life cycle and downstream usage of the resulting application, and integration with other systems
Ensures that all routinely used tools (e.g. those included in shared analysis pipelines) are versioned and managed through a source control system
Ensures that configuration files that provide parameters to algorithms and analysis software are versioned and managed through a source control system
Develops and implements automated data-driven testing processes that test reproducibility of results between versions of pipeline software
Develops and implements automated deployment processes that build and configure systems from source control repositories, eliminating the need to manually modify configuration files
Regularly documents code, troubleshoot, and provide training when necessary

Post-doctoral Bioinformatics Scientist Resume Examples & Samples

Perform expert informatics research, including establishment of scientific hypotheses that can be approached using computational methods and tools
Work with external and internal collaborators to examine, transfer, and index data towards development of automated data processing pipelines
Actively contribute to the establishment of the proteomics/metabolomics body of knowledge and technology “toolbox” that is broadly applied to R&D scientific questions. Assist and support the core informatics team with integration of R&D informatics systems to maximize speed to the clinic
Represent Research Bioinformatics department at scientific conferences and talks, and prepare manuscripts for publication in peer reviewed journals to advance scientific knowledge
Work effectively with external experts or collaborative groups promoting optimal use of informatics, scientific analysis, data utilization, information and knowledge
Completion of an accredited doctoral program
Demonstrated understanding in the methods of protein identification and quantitation by mass spectrometry, and proficiency in different statistical models, MS bioinformatics software such as MaxQuant, MASCOT, SEQUEST, MSGF and others for peptide/protein identification and quantitation, and cellular localization, function, and pathway analysis tools such as IPA, Pathway Studio, cytoscape, GSEA, GO, TMHMM, and SignalP
Solid knowledge of informatics tools and visualization/data mining packages (e.g. R/Shiny, Spotfire, ArrayStudio, genome visualization packages/browsers) and aptitude for adapting to complex new analysis packages and using them to their full potential
Proficiency in common programming/scripting languages (e.g. R, Python, SQL, JAVA, Perl) and their application in biomedical research
First-hand experience in the analysis and interpretation of large, complex datasets. Familiarity with multiple R&D data types, especially as they relate to proteomics/metabolomics research
1-3 years of post-doctoral experience
Proven track record of publishing relevant bioinformatics or systems biology results in peer-reviewed journals
Proficiency in Biostatistics
Experience developing rich visualizations for complex scientific data sets
Familiar with machine learning, NoSQL, knowledge capture and other innovations in predictive analytics and data-driven discovery
Demonstrated scientific knowledge of cell biology, molecular biology, or immunology, especially as it relates to biomedical research and development (targeted therapies, immunotherapies and stem cell therapies)

Bioinformatics Scientist / Bioinformatician Resume Examples & Samples

Assist in the establishment of cutoffs and guidelines for interpretation of NGS results using statistical analysis
Assist with technical interpretation of NGS results in areas such as variant calling, copy number variation, or fusion detection
Development and maintenance of Next-Generation Sequencing (NGS) data analysis pipelines
Development and maintenance of robust systems for managing and reporting NGS results
Maintain SOP documentation related to bioinformatics processes such as NGS data analysis pipelines
Work with other lab members to publish new methods and results in scientific journals and conferences

Senior Bioinformatics Scientist Resume Examples & Samples

Develop state of the art Next Generation Sequencing (NGS) analysis software
Design and implementation of algorithms and performance optimization
Maintain and expand our HPC solutions
Work closely with domain experts to validate the software

Bioinformatics Scientist Resume Examples & Samples

Several years of experience in the analysis of high-throughput ‘omic data
Proficiency in Linux and a cloud environment
Proficiency in Python, R, or a similar bioinformatics language
Knowledge of common bioinformatics tools
Experience analyzing large-scale genomics datasets
A desire to work in a cutting-edge biotech environment
The ability to prioritize and complete projects with minimal supervision
Focus on quality and attention to detail
The ability to interact with scientists and non-scientists from many disciplines
A record of scientific accomplishment

Bioinformatics Scientist Resume Examples & Samples

Contribute to the strategy for development and leveraging of the Computational Life Sciences cross-functional platform from data integration & management to analysis platform design for our Bayer Cropscience activities
Work with Computational Life Sciences (CLS) teams in US & EU to optimize and enhance CLS strategy
Design process to strengthen cross-functional projects & to capture new business requirements
Look for opportunities to collaborate with key players both internal and external
Participate in external scientific cooperation(s) on specific fields
Ensure the compliance with all existing safety standards in the area of responsibility taking into account laws, regulations and directives and evaluate potential risks of the research activities
Report progress in relation to critical milestones to X-Functional data science group lead and end-users
Ph.D. with a minimum of three (3) years of relevant experience, M.S. with a minimum of five (5) years, or a B.S. with a minimum of seven (7) years of experience in Computational Biology or a related field
Highly motivated with strong interpersonal, organizational, technical, leadership and communication skills and an ability to work in cross-functional team settings in a highly innovating research environment
Successful experience with inomics data management & analysis
Experience with Project manager, stakeholder management and networking across Research and Development (R&D)

Bioinformatics Scientist Resume Examples & Samples

Protein/DNA/RNA sequence analysis
Protein structural analysis
Statistical methods for classification and prediction
Systems biology/GWAS/pathway analysis
Database mining

Bioinformatics Scientist Resume Examples & Samples

Demonstrated work experience showing proficiency -with the use of biological databases and on-line resources/tools
Two years of experience working with at least two of the following technologies: Perl, Python, Java, C#, Javascript
Two years scientific programming experience or tool development experience in sequencing analysis or genotyping, Linux or Shell scripting
Demonstrated work experience developing novel methods and algorithms
Demonstrated work experience managing complex projects with minimal supervision

Senior Bioinformatics Scientist Resume Examples & Samples

Experience working with cancer databases (e.g. TCGA, ICGC), patient clinical data, and conventional NGS tools
Minimum of 5 years proficiency with R/Splus and at least one additional programming language required
Ability to work on multiple simultaneous projects and have experience presenting results at scientific conferences

Bioinformatics Scientist Resume Examples & Samples

Background in genomics, genetics, molecular biology, and biological pathways
Proficiency in the use of bioinformatics/statistical software (eg. GATK, BCFtools, BLAST, BWA, PLINK, etc), and publicly available genetics databases (eg. ExAC, ESP, ClinVar, GenBank, Ensemble, KEGG, HGMD, OMIM, etc.)
Proficiency with Perl, Python, R, bash, C/C++, java, and/or SQL in Linux/Unix environment
Strong skills in the application of statistical methods for analysis of genetic data
Excellent time management as well as oral and written communication skills
Ability to quickly and effectively operate, communicate and influence decision making within cross-functional and multi-disciplinary clinical genetics team
Must reside in the United States

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