Scientist, Bioinformatics Resume Samples

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M Kuhn

Marvin

Kuhn

2133 Rice Tunnel

Los Angeles

+1 (555) 372 1111

2133 Rice Tunnel

Los Angeles

Phone

p +1 (555) 372 1111

Experience Experience

Philadelphia, PA

Scientist, Bioinformatics

Philadelphia, PA

Nienow-Koch

Philadelphia, PA

Scientist, Bioinformatics

Provide support to manage and query data in SQL database
Execute best practices genotyping to evaluate the performance of custom arrays after the design process is complete
Assist in writing accurate and detailed standard operating procedures for duties within work group
Develop, modify and execute software test plans and test cases for data analysis software
Perform software testing of analytical software applications
Develop tools using Java, C++ or language of choice
Collect, clean and manage data from various sources

Dallas, TX

Principle Scientist, Bioinformatics

Dallas, TX

Gottlieb, Rath and Hilpert

Dallas, TX

Principle Scientist, Bioinformatics

To build bioinformatics infrastructure for data management, data integration and data visualization, in collaboration with discovery IT department
Identify, manage and contribute to external collaborations relevant to bioinformatics/biomarker discovery
To work proactively with biologists to define analysis questions, interpretate analysis results, and prioritize on the hypothesis
To develop research plan and initiate new translational biomarker study
Serve as a technical expert in bioinformatics within the organization and provide support to multiple projects and programs
To lead a highly effective bioinformatics team
To analyze NGS, -omics, patient, in vitro, in vivo, in house and public data to investigate the biological networks relevant to disease pathophysiology for biomarker and target discovery

present

Phoenix, AZ

Senior. / Scientist, Bioinformatics

Phoenix, AZ

Brakus and Sons

present

Phoenix, AZ

Senior. / Scientist, Bioinformatics

present

Track record of publication of scientific research and/or method development
Familiarity with best practices in software development, including version control, unit and integration testing, documentation, and deployment
Work collaboratively with scientists, software engineers, and others across the company
Manage the release and deployment of pipelines in a shared cloud computing infrastructure
Develop and deploy robust data processing and analysis pipelines for a variety of NGS protocols and related methods
Proven success in the design, development, and deployment of data analysis pipelines
PhD in Bioinformatics, Computational Biology, Biostatistics, or related discipline

Education Education

Master’s Degree

Loyola University Chicago

Master’s Degree

Skills Skills

Knowledge of C++, Java, SQL and basic database architecture
Knowledge of basic statistical methodologies
Experience with interaction with external collaborators is highly desirable.Informatics
Excellent organizational and inter personal skills. Willing to work in a matrix organization and be a good team player
Strong communication skills and cross functional leadership
Knowledge in cancer biology, Immunology and/or infectious disease is
Experience with development of integrated data mining and data visualization tools is highly desired
Excellent communication skills are critical
Knowledge of sequence analysis techniques especially variant detection and annotation
Proficient in utilizing standard softwares for computational biology application

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15 Scientist, Bioinformatics resume templates

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Principle Scientist, Bioinformatics Resume Examples & Samples

To lead a highly effective bioinformatics team
To analyze NGS, -omics, patient, in vitro, in vivo, in house and public data to investigate the biological networks relevant to disease pathophysiology for biomarker and target discovery
To work proactively with biologists to define analysis questions, interpretate analysis results, and prioritize on the hypothesis
To develop research plan and initiate new translational biomarker study
To build bioinformatics infrastructure for data management, data integration and data visualization, in collaboration with discovery IT department
To develop and apply new bioinformatics methods and data processing pipelines to further enhance the ability to gain novel insights
Serve as a technical expert in bioinformatics within the organization and provide support to multiple projects and programs
Identify, manage and contribute to external collaborations relevant to bioinformatics/biomarker discovery
To prioritize bioinformatics projects to maximize the added value
Ph.D in Biostatistics, Bioinformatics and/or Computational Biology or Ph.D in Biological Science with M.S. in bioinformatics
Minimum of 5-10 years of relevant experience (prefer industry) in predictive modeling, supervised learning, and development of algorithms to explore complex biological datasets
Technical proficiency required
Experience in biomarker and translational research in drug discovery and development contexts preferred
Commitment to excellence, innovation and scientific rigor is a mustInformatics

Associate Scientist, Bioinformatics Resume Examples & Samples

Consult with scientists to design experiments, carry out statistical analyses, and explain scientific conclusions
Collaborate on long-term scientific projects (e.g., GWAS, gene expression, proteomics). Develop new methodologies and software implementations as needed
Serve as a statistical advisor and point of contact to designated functions within Genentech Research
Ph.D. in statistics or biostatistics with a solid theoretical background. Candidates should have experience with generalized and/or linear mixed models, experimental design, statistical graphics and programming, multivariate analysis, and commonly applied techniques in statistical genetics and genomics
Enthusiastic teacher of statistical ideas to non-statisticians. Collaborative researcher, making co-author level contributions to scientific publications
A strong plus will be an understanding of molecular cell biology and/or immunology, in addition to standard research assays and technologies (e.g., qRT-PCR, immunohistochemistry, ELISA, bioassays, flow cytometry, sequencing approaches, etc.)
Ability to create applications and packages in R and to work in a UNIX environment. Additional experience (e.g., python, C, experience in a cluster computing setting, common bioinformatics tools, etc.) a plus

Technical Support Scientist, Bioinformatics Resume Examples & Samples

Participate as a key member of a diverse group of Technical Support Scientists and Engineers
Assist customers with Experimental Design, Software installation/upgrade, and Data Analysis questions or complaints in a timely manner. Issues can be received via phone, email, and the Web
Log and manage case details using Salesforce CRM
Represent our Customers, the Field and Technical Support Teams on Core teams in the development and delivery of new systems, software, and consumables
Must have a “can do” attitude and be comfortable in a fast-paced start-up environment
Self-starter who is able to work with minimal supervision
Must have excellent troubleshooting abilities

Scientist, Bioinformatics Resume Examples & Samples

You will be contributing to projects that involve PCR primer/probe design, DNA sequence analysis, and NGS and comparative genomics supporting development of assays for detecting Infectious Diseases and Cancer Genomics
Development of bioinformatics tools and pipelines for use by other scientists in R&D
You must have strong communication skills and ability to collaborate effectively with biologists, bioinformatics scientists, software developers and IT staff
You should be able to work independently on complex projects, anticipate and overcome challenges, negotiate requirements and time lines to deliver results
You will be presenting at internal meetings and conferences

Research Scientist, Bioinformatics Resume Examples & Samples

Analyze large-scale genomic data, such next-generation sequencing (Exome, Whole genome and RNA-seq) data from patient samples to support patient stratification and biomarker selection for multiple development programs, focusing on inflammation disease areas (e.g. RA, IBD and SLE)
Develop bioinformatic software, analysis pipelines and applications to make genomics results and findings available to research and development colleagues at Gilead
A PhD in bioinformatics, computational biology, genomics, computer science, statistics or a related field with 5+ years of work experience
Proficient in at least one of following programing languages: C, C++, Java, Python and Shell in a Linux environment
Hands-on experience in analyzing next-generation sequencing data is required
Proficient in statistical data analysis of genomic data using R/Bioconductor
Strong publication record in peer-reviewed journals, industrial experience and people management experience is preferred
Knowledge in immunology, oncology or experience in web/database development is a plus

Senior Scientist, Bioinformatics Resume Examples & Samples

Independently conceive, execute, and communicate bioinformatics analysis that support discovery and pre-clinical studies for new target identification and biomarker development
Maintain and build computational infrastructure and pipelines within TRI group
PhD in Bioinformatics, Computational Biology or Biological Sciences with strong quantitative background, involving the analysis of large scale complex data such as next generation sequencing, microarray and etc with at least 6 years of experience, or Master’s degree with at least 12 years of experience
The ideal candidates will have solid background in biology/immunology, bioinformatics and statistics with strong coding skills in R and an additional programming language such as Perl or Python
Hands on experience in genomic, genetic analyses using Next-Gen sequencing such as RNA-Seq, Exome-Seq, ChIP-Seq and etc, and microarray data analysis
Candidates must be able to effectively interpret the analysis results within biological context to your peers with different backgrounds
PhD in Bioinformatics, Computational Biology or Biological Sciences with strong quantitative background, involving the analysis of large scale complex data such as next generation sequencing, microarray and etc with at least 4 years of experience, or Master’s degree with at least 10 years of experience

Scientist, Bioinformatics Resume Examples & Samples

Implement analysis pipelines for next generation sequence analysis using Python, Perl, other scripting languages
Develop tools using Java, C++ or language of choice
Statistical analysis fundamentals and scientific programming
Collaborate with experts in the field to develop custom data analysis
Written and verbal presentation of results and methods, as communication with academic collaborators is essential
Extensive background in sequence analysis and experimental data analysis
Broad knowledge of genomic databases (e.g. Genbank, 1000 Genomes, dbSNP)
Familiarity with sequence analysis tools (e.g. samtools, vcftools, UCSC Genome Browser)
Basic understanding of biology behind genotyping and human variation
Proficient in Unix/Linux environment
Understanding of object oriented design and programming
BS/MS in Computer Science, Molecular Biology, Bioinformatics or equivalent discipline

Research Scientist, Bioinformatics Resume Examples & Samples

Develop and implement, in collaboration with research and biomarker scientists, statistical analysis and quality control of microarray and next generation sequencing data (e.g. RNA-seq, exome-seq, CHIP-seq, whole genome sequencing, etc)
Apply and create statistical and computational tools for analysis of large genomic and pharmacogenomics data sets from publicly available, commercial, or proprietary genomic databases to enable target identification/assessment, understanding of MOA, disease subtypes, etc
Design and apply bioinformatics algorithms, unsupervised and supervised methods, univariate and multivariate regression analyses, etc. to enable the discovery of predictive and prognostic biomarkers and biomarker signatures utilizing preclinical and clinical data
3+ years of experience with computational annotation and analysis of large-scale multidisciplinary datasets including genomic data

Scientist, Bioinformatics Resume Examples & Samples

Hands on experience with analysis of RNA microarray data, next generation sequencing data (exome sequencing, whole genome sequencing, RNA sequencing), copy number variation data etc
Experience with development of integrated data mining and data visualization tools is highly desired
Knowledge in cancer biology, Immunology and/or infectious disease is a plus

Principal Scientist, Bioinformatics Oncology Resume Examples & Samples

Provide data analysis support to the drug discovery efforts
Collaborate with LRL IT informatics group to enhance data quality control and integration platform; identify new technologies / capabilities to manage "-omics" data
Work in conjunction with translational scientists and discovery biologists in China and United States; identify opportunities to improve our LRL Research informatics capabilities and NGS pipeline to deliver innovation and value to our LRL Research efforts
Develop and apply systems biology and genomic approaches to support target identification, patient tailoring, mechanistic characterization of cancer and compound activity or biomarker efforts
PhD. with Postdoc or equivalent experience in bioinformatics or computer science or mathematics, with some education or experience in life sciences, such as biology or computational biology
Experience with bioinformatics technologies, such as Next-Generation Sequencing data analysis, Exome sequence, RNA-seq and SNP array
Experience with RNA-seq data analysis and alignment algorithms such as TopHat, STAR and Cufflinks
Strong experience and skill with Unix-based computer systems and languages
Experience in developing data analysis pipelines using R, PERL and Python
Excellent oral and written communication skills in English and Mandarin Chinese
Able to work independently with excellent problem solving skills
Team player who can gain the cooperation and support of customers and end users
Experience with visualization packages such as spotfire, tableau or equivalent tools is desired
Experience in Pharmaceutical company or life science industry is desired
Knowledge or training in oncology life science is desired

Senior. / Scientist, Bioinformatics Resume Examples & Samples

Develop and deploy robust data processing and analysis pipelines for a variety of NGS protocols and related methods
Identify and benchmark available tools and develop new algorithms as needed for use in analysis pipelines
Manage the release and deployment of pipelines in a shared cloud computing infrastructure
Employ best practices in coding, including thorough testing and documentation of code
Support a wide variety of research via data analysis, statistical analysis, and experimental design
Work collaboratively with scientists, software engineers, and others across the company
PhD in Bioinformatics, Computational Biology, Biostatistics, or related discipline
Proven success in the design, development, and deployment of data analysis pipelines
Familiarity with modern NGS tools and analysis of NGS data
Fluency in Python, including packages in the scientific computing stack
Experience with Docker, Luigi, pandas, Amazon Web Services, and Spark
Familiarity with best practices in software development, including version control, unit and integration testing, documentation, and deployment
Fluency in a wide range of statistical tests and design of experiment techniques
Track record of publication of scientific research and/or method development
Outstanding communication skills (verbal and written)
Ability to manage multiple projects in a fast-paced environment
Ability to effectively collaborate in a dynamic, cross-functional matrix environment

Principal Scientist, Bioinformatics Resume Examples & Samples

Work proactively with external and internal collaborators (including scientists and software
Design pipelines that are efficient, robust, and leverage multicore compute resources
Devise and run computational tests to validate assay and pipeline performances
Collaborate with scientists and UI/UX team to develop custom solutions and novel data

Principal Scientist, Bioinformatics IVD Resume Examples & Samples

Work closely with experimentalists in the design and analysis of studies that will optimize molecular workflows and validate test performance
Develop, modify, and validate bioinformatics methods to analyze microarray data
Evaluate feasibility of analytical methods through simulation and statistical testing
Validate and test analysis algorithms for effects on interpretation of diagnostic results
Document methods, studies, and algorithms to enable the deployment of IVD tests in a regulated environment

Associate Scientist, Bioinformatics Resume Examples & Samples

Adapt or develop analytical algorithms to facilitate data processing and interpretation of genomics assays
Execute data analysis pipelines
Modify or develop improved data analysis pipelines
Facilitate data sharing/management from internal, open-source based databases
Proven proficiency in shell scripting and R. Expertise in Shiny, PHP, Perl, Python or Javascript considered a plus
Awareness of resource management issues in cloud computing pipelines
Awareness of biostatistics and bioinformatic algorithms
General knowledge of PCR and NGS technologies and sequence analysis tools; e.g. aligners and differential expression analysis methods considered a plus
General understanding of biochemistry, genetics or epi-genetics considered a plus
Highly self-motivated and enjoy working as part of a multi-disciplinary team
Outstanding oral and written communication skills
Excellent organizational and documentation skills, thorough and detail-orientated
Broadening knowledge and technical skills to increase the departments’ productivity
Assist senior team members in executing, conducting analysis and reporting results

Senior Scientist, Bioinformatics Resume Examples & Samples

A bioinformatics or related graduate degree
5+ years of experience, preferably in Oncology
1-3 years of technical experience in R, Python, or Perl, command-line UNIX/Linux, SQL
Experience working with genomics data (i.e. GWAS, Aneuploidy, Mutation profiling, CNV, SNP)
Familiarity with data visualization software (i.e. R/Shiny, Tableau)
Motivated, organized and disciplined record keeping
Great personality and excellent communication skills
Strong track record of achievement and advancement desired

Scientist, Bioinformatics Resume Examples & Samples

Develop and apply state-of-the-art computational analysis and interpretation approaches to leverage internal, public and partner datasets and empower data-driven therapeutic program decision-making
Collaborate with research colleagues to interrogate clinical phenotypes and develop biomarker hypotheses that enable molecular segmentation of key disease subpopulations
Present and report methods, results and conclusions to a publishable standard, both internally and outside the company where required. Contribute to publications, study reports, invention disclosures, investigator brochures and documents as needed to a publishable standard
4+ years experience of inter-disciplinary computational research in university, hospital or biotechnology environments

Scientist, Bioinformatics Resume Examples & Samples

Assists to provide analytical and data-processing services to Research department for the research and development of new products, including NGS, protein assays, etc
Support the analysis and verification of oligonucleotides for identification of target genes and their expression
Perform resolution analysis to evaluate DNA typing kits
Data mining of genomic libraries and genomes
Provide support to manage and query data in SQL database
Track and maintain detailed log of tasks and outcomes
Perform software testing of analytical software applications
Assist in writing accurate and detailed standard operating procedures for duties within work group
Bachelor’s degree from an accredited higher learning institution required, with studies in Bioinformatics, Life Sciences/Molecular Biology, Computer Science or related field AND 3 years of relevant work experience; OR Master’s degree and relevant work experience
Ability to quickly absorb a new discipline and to problem-solve accordingly
Knowledge molecular biology, bioinformatics, computational biology, statistics
Knowledge of computer programs, such a MS Excel, SQL Server 2008, MS Word
Ability to use interviewing techniques to assess and obtain technical information
Ability to quickly absorb a new discipline
Ability to work in an active environment and meet deadlines
Must possess strong organizational skills

Scientist, Bioinformatics Resume Examples & Samples

Comfortable working with large, multi-dimentional datasets
Knowledge of sequence analysis techniques especially variant detection and annotation
Knowledge of basic statistical methodologies
R, Python, and or other scripting languages
Excellent communication skills are critical
Proactively interact with software development colleagues
Knowledge of C++, Java, SQL and basic database architecture a plus
Experience with data visualization techniques a plus

Research Scientist, Bioinformatics Resume Examples & Samples

Develop bioinformatics/statistics methods for microbiome data analysis, multi-omics and clinical data integration
Testing and Incorporation of the analysis methods as pipelines in web accessible solutions or Python/R packages
Apply existing and/or new methods to large-scale next-generation sequencing datasets generated within a wide range of cohorts as well as in international projects
The candidate is expected to be able to setup, use, maintain, modify and/or troubleshoot microbiome analysis pipelines and databases for sequence and biosample information (SQL, MYSQL, or other database languages)
Participate in scientific presentation and manuscript preparation
Ph.D. or Masters in Bioinformatics, Computational Biology, Data mining or related field
Demonstrated computer-programming skills in Java and/or scripting languages such as Perl and/or Python
Knowledge of Unix/Linux/Mac OS X/Windows platforms
Relational database expertise including SQL and schema design
Experience in metagenomic or microbiome data analysis, preferably applied towards large datasets
3+ years experience in Bioinformatics, including independent algorithm/software development and analysis of next-generation microbial sequencing data
Undergraduate or graduate coursework in Microbiology, Biology, or related topics such as Epidemiology
Knowledge of C/C++, R/S-plus
Ability to apply statistical and machine learning techniques to solve “big data” problems

Scientist, Bioinformatics Resume Examples & Samples

Interface with several cross-functional groups within the company and with our scientific customers
Work closely with the customer to translate scientific requirements into a sequence of array design steps, and guide the customer through the design process
Provide detailed customer facing reports that include careful verification of the customer submitted content
Mine the Affymetrix Genomic database for markers and probes that meet the customer design requirements. Content for arrays may be selected from several sources including, but not limited to, dbSNP, 1000 GP releases, Affymetrix’ Axiom® Genomic Database, or markers identified by sequencing
Use, extend, and where applicable, develop new methods associated with array design, including probe scoring, selection of tagging markers, imputation-aware marker selection, evaluation of genetic coverage, and efficient database queries
Execute best practices genotyping to evaluate the performance of custom arrays after the design process is complete
Use, extend, and where applicable, develop new pipelines for expression and genotyping data analysis
Work on applications of microarray and next generation sequencing platforms, including some or all of the following: detection of rare variants, detection of gene fusions, detection of deletions and other structural variants, quantitation of differential gene expression
MS in computational biology, biostatistics, bioinformatics, Statistical Genetics, or Genome Science or similar + 3 yrs experience (PhD nice to have)
Excellent communication skills along with the ability to work as part of a team
Strong initiative and demonstrated ability to take ownership of assign tasks
Ability to work in a fast paced, collaborative environment and meet deadlines
Possess strong organizational skills
Proficiency in Linux/Unix including shell scripting
Statistical computing language - R is preferred
Experience with Python and/or Perl, in a Unix environment
Experience with relational databases, and proficiency with SQL and/or Oracle
Experience in analysis of microarray data considered a strong plus
Knowledge of bioinformatics and specific knowledge of next generation sequencing
Experience in human genotyping imputation, Genome Wide Association Studies, annotation databases, as well as the ability to handle very large bioinformatics datasets and develop automated workflows, is a strong plus