Computational Biology Resume Samples

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J Deckow

Jordan

Deckow

5201 Katheryn Field

Philadelphia

+1 (555) 924 1126

5201 Katheryn Field

Philadelphia

Phone

p +1 (555) 924 1126

Experience Experience

Los Angeles, CA

Scientist Computational Biology

Los Angeles, CA

Fadel and Sons

Los Angeles, CA

Scientist Computational Biology

You work at the interface between the Computational Biology Group and BI`s Therapeutic Areas for Drug Discovery (Cardiometabolic Research, Central Nervous System Research, Inflammation & Respiratory Research, Immune Modulation & Research Beyond Borders)
As Scientist you translate results from our bioinformatics pipelines (NGS mRNASeq, Target Reporting, Gene Prioritization, etc.) into new therapeutic concepts, biomarkers and improved drug discovery screening strategies
You work successfully in interdisciplinary teams with internal and external collaborators
You develop strategies to fill gaps in the computational biology tool portfolio of BI
You design next generation sequencing (NGS) experiments and apply bioinformatics tools for NGS data analysis & interpretation
You represent the team in interdisciplinary drug discovery projects of BI
You have excellent knowledge of applied bioinformatics

San Francisco, CA

Scientist, Computational Biology

San Francisco, CA

Rosenbaum, Russel and Jacobi

San Francisco, CA

Scientist, Computational Biology

Perform analysis of genetic, proteomic, and microbiome data generated from defined pre-disease cohorts to identify early molecular changes preceding disease development and generate predictive models of IBD risk
Analysis of multidimensional high content data sets, integration of these data sets with clinical metadata, and assessment of correlations across datasets to identify novel biomarkers
Design, characterize and optimize therapeutic candidate drugs through computational analysis of protein sequence and structure, computational protein design and engineering
Apply protein structure knowledge to predict and design biophysical properties
Develop innovative and robust analysis and computational biology tools that can be used by lab scientists
Develop and apply bioinformatics tools for advancing internal technology platforms for antibody discovery and antibody engineering and providing bioinformatics support
Work closely with laboratory scientists to develop novel therapeutic drug candidates

present

Dallas, TX

Senior Director, Computational Biology

Dallas, TX

Dickinson, Gerlach and Jones

present

Dallas, TX

Senior Director, Computational Biology

present

Lead computational biology department working on algorithm development, statistical method development, data analysis, and pipeline development across multiple product lines
Articulate and execute on strategic plans for technology/infrastructure development in key technical areas
Engage with customers and external developers to encourage expansion of novel approaches to data analysis, resulting in a growing ecosystem of 10x’s products and their wider spread applications
Work with other departments to help develop efficient processes for product development as the company and product portfolio grows
Work closely with molecular biology and other groups to build out statistical methods and tools to drive assay and platform development for new products
Work closely with applications group to build out prototype methods demonstrating additional uses of data from 10x products
Work closely with software group to optimize systems and tools for both externally-facing software and internally-facing data analysis and exploration tools

Education Education

Bachelor’s Degree in Motivation

Ashford University

Bachelor’s Degree in Motivation

Skills Skills

Experience with R, PERL or Python, SQL are highly desirable
Ability to effectively interpret and communicate conclusions from complex data is essential
Demonstrated ability to formulate and test hypotheses by designing and implementing computational approaches relevant to drug discovery efforts
Expertise in computational biology, structural biology with an ability to guide collaborate with lab scientists on experimental methods
Proficient programming skills and computational analysis background
Proficient in computational design tools (ROSETTA, MOE, PyMOL, Schrodinger Suite)
Proficient written and verbal communication skills, particularly of complex information and concepts
Creative, innovative thinking and experience analyzing protein sequences and structure
Developing and benchmarking predictive models
Ability to work effectively with internal and external collaborators and multidisciplinary teams composed of scientists and non-scientists to translate emerging research to guide internal programs

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15 Computational Biology resume templates

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Postdoctoral Fellow, Computational Biology Resume Examples & Samples

A minimum of a Doctoral degree (e.g., Ph.D.) is required in Computational Biology, Bioinformatics, or a related discipline
Strong R and BioConductor programming skills are required
Experience working in Unix/Linux environment is required
Oncology and/or immunology experience is preferred
Experience with high dimensional data integration, next generation sequencing analysis, gene expression analysis, survival analysis and biological network inference is preferred
Statistical analysis experience with working knowledge of regression analysis, multivariate data analysis and linear/nonlinear mixed effects modeling is preferred
Scripting language experience (e.g. Perl or Python) is preferred
Other high level programming (e.g. Java, C++, etc.) and database (e.g. MySQL, PostgreSQL, Oracle) experience is preferred

Scientist, Computational Biology Resume Examples & Samples

Perform analysis of genetic, proteomic, and microbiome data generated from defined pre-disease cohorts to identify early molecular changes preceding disease development and generate predictive models of IBD risk
Analysis of multidimensional high content data sets, integration of these data sets with clinical metadata, and assessment of correlations across datasets to identify novel biomarkers
A Ph.D. in Computational Biology, Immunology, Biomedical Engineering, Bioinformatics or a related field with at least 2 years of relevant experience is required
Strong computational analysis skills and experience with large datasets (e.g. analysis of genetic, microbiome, proteomic, metabolomic data) is required
Proficiency in standard analytical platforms (e.g. R, SAS, Matlab, Omicsoft ArrayStudio) is required
Expertise in microbiome analysis (e.g. 16S data) and microbiome analysis software (e.g. QIIME) is required
Experience in the integration of –omics datasets (e.g. genetic and microbiome) for the development of predictive models is preferred
Proficiency in biology/immunology, preferably in autoimmune disease or IBD, and in the biological interpretation of data analysis results is preferred
Expertise in predictive algorithms, biomarker discovery and/or diagnostic development is preferred.R&D

Crop Computational Biology Lead Resume Examples & Samples

PhD in Agronomy or Horticultural Sciences, with an emphasis on applying computational tools and strategies. PhD in Computer Science with extensive demonstrated experience in crop systems for data-driven discovery will be considered
At least 5 - 8 years post-graduate experience (including graduate school years) required with experience in an industrial discovery environment highly preferred
Experience in team discovery with knowledge of both plant breeding practices and principles of agronomic investigation highly preferred
Demonstrated experience and proficiency with common programming languages
Demonstrated proficiency in designing and maintaining database systems for discovery platforms (MySQL, Oracle, NoSQL, PostgreSQL …etc)
Knowledge of common software platforms and databases for statistical, genetic and genomic discovery. Experience Unix/Linux and distributed high performance compute systems required
Excellent communication and networking ability with internal and external audiences that have a wide range of scientific expertise
A proven ability to work closely with colleagues on complex projects with a high degree of flexibility and comfort with change
Must be able to adapt to unexpected delays and changes in workflows to maintain overall productivity

Scientist, Computational Biology Resume Examples & Samples

Experience using clinical data, electronic medical records, and laboratory data for analysis of complex phenotypes is desired
Knowledge of experimental design principles
Management of large genetic studies (n>10,000)
Statistical software (R/MATLAB/SAS)
Programming/Scripting skills (Perl/Python/Shell/Java)
Knowledge of statistical genetics software

Scientist Computational Biology Resume Examples & Samples

You work at the interface between the Computational Biology Group and BI`s Therapeutic Areas for Drug Discovery (Cardiometabolic Research, Central Nervous System Research, Inflammation & Respiratory Research, Immune Modulation & Research Beyond Borders)
As Scientist you translate results from our bioinformatics pipelines (NGS mRNASeq, Target Reporting, Gene Prioritization, etc.) into new therapeutic concepts, biomarkers and improved drug discovery screening strategies
You work successfully in interdisciplinary teams with internal and external collaborators
You develop strategies to fill gaps in the computational biology tool portfolio of BI
You design next generation sequencing (NGS) experiments and apply bioinformatics tools for NGS data analysis & interpretation
You represent the team in interdisciplinary drug discovery projects of BI

Scientist Computational Biology Resume Examples & Samples

As Scientist you work in the team for data analysis and bioinformatics infrastructure within the Computational Biology Group on topics from both areas of the team
You establish and develop new analysis strategies in areas such as single cell RNA-Seq, cell deconvolution, DNA methylation. You use methods from network biology or machine learning on large integrated datasets for indication discovery or target prioritization
You carry out data analyses to generate and test hypotheses in the context of new therapeutic concepts in collaboration with scientists from BI’s Therapeutic Areas for Drug Discovery (Cardiometabolic Research, Central Nervous System Research, Inflammation & Respiratory Research, Immune Modulation & Research Beyond Borders) or other members of the Computational Biology group
You contribute to projects during all phases from experimental design to downstream analysis as the computational biology specialist in interdisciplinary teams
You take part in infrastructure development by implementing analysis modules/pipelines (e.g. NGS data analysis, Shiny Apps), automation of interactions between infrastructure components (e.g. LIMS), or requirements analyses for such systems
You contribute to BI’s global computational biology infrastructure in collaborations with bioinformaticians and members of IT and external partners in international teams

Scientist, Computational Biology Resume Examples & Samples

Design, characterize and optimize therapeutic candidate drugs through computational analysis of protein sequence and structure, computational protein design and engineering
Apply protein structure knowledge to predict and design biophysical properties
Develop innovative and robust analysis and computational biology tools that can be used by lab scientists
Develop and apply bioinformatics tools for advancing internal technology platforms for antibody discovery and antibody engineering and providing bioinformatics support
Work closely with laboratory scientists to develop novel therapeutic drug candidates
Contribute to external collaborations and partnerships
Ph.D. in computational biology or computational chemistry, bioinformatics, or a related field, with strong knowledge in structural biology, molecular biology or biochemistry
1-3 years’ experience of applied research in either an academic or industry setting preferred
Expertise in computational biology, structural biology with an ability to guide collaborate with lab scientists on experimental methods
Some experience in synthetic or medicinal chemistry preferred
Familiarity with antibody screening and production technologies such as phage display, hybridoma generation, protein expression and purification, ELISA, FACS preferred
Demonstrated ability to formulate and test hypotheses by designing and implementing computational approaches relevant to drug discovery efforts
Ability to effectively interpret and communicate conclusions from complex data is essential
Capacity to prioritize and work independently, complete tasks and advance projects, with minimal supervision
Ability to work effectively with internal and external collaborators and multidisciplinary teams composed of scientists and non-scientists to translate emerging research to guide internal programs
Proficient written and verbal communication skills, particularly of complex information and concepts
Creative, innovative thinking and experience analyzing protein sequences and structure
Deep knowledge in antibody structure and variable region sequences is preferred
Developing and benchmarking predictive models
Working knowledge of laboratory techniques in molecular biology, cell biology and protein engineering is preferred

VP of Computational Biology Resume Examples & Samples

Envision, develop and execute long-term strategic direction of Illumina’s Advanced Software Analytics Research and Technology Development function with the emphasis on Oncology, Reproductive Health and Microbiome fields
Develop, approve, and implement the strategic and operational quality plans for the organization
Formulate long-range operating plans, budgets and programs to support company objectives
Make final decision on administrative and operational matters
Develop strategies to ensure effective achievement of Advanced Software Analytics activities and goals
Coach core team leaders and sponsors, establishing and coordinating responsibilities and procedures among collaborating departments (Product Development, Commercial, Business Units, etc) to ultimately drive the development and launch of successful products
Appropriately allocate resources to achieve goals
Monitor and evaluate completion of large scale and strategic projects, resolving critical path issues and escalating if needed
Build and develop Advanced Software Analytics and Applied Biology leadership team to ensure strong successors and talent to fuel future growth
Employ business acumen in making development investment decisions and tradeoffs

Computational Biology Intern Resume Examples & Samples

Must be enrolled in a Masters or PhD program with a minimum 3.2 GPA (will be verified)
Preferred course of study: Computer science, mathematics, statistical genetics, bioinformatics, Computational Biology, or similar
Solid background in statistics and genetics. Fluency with at least one of software language tools including R, python, perl, or Java. Familiar with Linux and parallel computing. Familiar with basic bioinformatics tools and databases. Knowledge of deep learning is a plus

Research Scientist, Computational Biology Resume Examples & Samples

Perform computational analysis for exploration and interpretation of various types of high-throughput molecular profiling data, including single-cell approaches
Develop and implement state-of-the-art approaches for biological pathway and network analysis to elucidate perturbation of cellular processes and patient molecular phenotypes
Assist in defining and implementing best practices for resource usage, version control, code and knowledge sharing
Present and report methods, results and conclusions to a publishable standard, both internally and outside the company where required; and
Participate in wider group endeavors concerning the elucidation of compound mechanisms of action, drug resistance and prediction of target indications

Computational Biology Scientist Resume Examples & Samples

Serve as the primary product and project manager at DFCI for the open source cBioPortal for Cancer Genomics (http://cbioportal.org)
Serve as the primary outreach and education coordinator for the cBioPortal for Cancer Genomics
Perform integrative cancer genomics analysis and data mining
Establish interdisciplinary research projects with clinical and translational collaborators at DFCI
PhD in cancer biology or cancer genomics, with a strong clinical / translational cancer focus
Expertise in cancer genomics, and the clinical application of cancer genomics
Experience in data science and data mining, preferably in Python
Excellent communication and writing skills
Excellent organization skills, and ability to organize teams
Exceptional attention to detail

Computational Biology Postdoctoral Fellow Resume Examples & Samples

Utilize barcoded libraries of transposon mutants in diverse microorganisms to investigate metabolism, gene regulation, signal transduction, or stress response in these microorganisms under conditions that mimic the natural environment
Develop novel approaches to elucidate gene function and gene regulatory networks in diverse microorganisms
Analyze laboratory-based functional genomic data in the context of the natural environment from which the microorganism was isolated
Develop robotic automation protocols and tools for enhanced research productivity
Develop research programs that lead to continued funding. To accomplish this goal, the candidate is expected to present his/her research at international conferences and to publish in high-impact, peer-reviewed journals
Supervise a small group of technicians and undergraduates
Collaborate and develop strong working relations with relevant ENIGMA teams on experimental design, data analysis, and long-term project planning
Present findings in conferences and peer-reviewed journals in addition to seeking out and acquiring extramural funding (including postdoctoral fellowships)
Work with ENIGMA environmental microbiology team to isolate key microorganisms from field samples
PhD in Biology, Microbiology, Genetics, Biochemistry, Molecular Biology, or related field
Demonstrated experience in managing multiple projects and in corresponding with scientific collaborators
Demonstrated success in the publication of high-impact work in internationally recognized peer-reviewed journals
Strong organizational and record keeping skills
Effective interpersonal skills and demonstrated ability to work in a team environment with a diverse group of scientific and technical personnel
Demonstrated ability to acquire extramural funding
Experience in environmental microbiology or systems biology

Head of Computational Biology Resume Examples & Samples

Strong and proven abilities to use computation to advance knowledge and application of biology
Strong collaboration and communication skills
Move with speed- decisiveness and simplicity of process
Value diversity of thought in decision making- “The art of thinking independently together.”

Computational Biology Scientist Resume Examples & Samples

Develop and execute molecular and structural bioinformatics-based projects focused on weed, disease and pest control
Drive innovative solutions to bottlenecks in our protein engineering workflow by designing statistically sound feeding assays and finding novel ways to incorporate structural and molecular bioinformatics models to suggest target sites for protein improvement
Use machine learning on large genomic and phenomic data sets to find novel pesticidal gene classes
Predict binding sites based on comparisons of pesticidal gene secondary structure and host-receptor binding assays
Determine which components of genetic networks are required to recapitulate a phenotype in a heterologous system
A PhD in bioinformatics, statistics, microbiology, genetics or a
Strong mastery of a subset of bioinformatics, machine learning or
A history of success as a driving force in research projects

Research Scientist, Computational Biology Resume Examples & Samples

Education/Experience: Bachelor's degree with 2-3 years’ experience or a Master's degree with 0-2 years’ experience or a PhD
Education/Experience: Master’s degree in the field of computational biology, microbiology, biochemistry, or engineering, or a related discipline with three years’ experience or PhD in the same fields
Experience in computational analysis and modeling of high-throughput data for systems biology projects
Experience with laboratory techniques for high-throughput data analysis, microbiology, and or molecular biology
Experience with programming languages (R, Python, and/or C)
Depth and breadth of knowledge in host and pathogen biology and interactions
Experience on highly collaborative interdisciplinary teams

Intern, Computational Biology Resume Examples & Samples

Write python code for pipeline automation
Perform bioinformatics tasks (including sequence based analysis and annotations)
Develop and test machine learning models
Candidate must be currently enrolled in, or recently completed degree in Bioinformatics, Biostatistics, Computational Biology, or a related field
Experience in handling protein sequence and small molecule data
Computer programming skills, such as Python is required
Experience with other programming languages like Java & R, and experience with machine learning packages is highly desirable

Senior Scientist, Computational Biology Resume Examples & Samples

Active participation as a core team member in the Protein Homeostasis TCoE and RIKU Research Analytics group
Develop and apply leading-edge computational analysis and biological interpretation approaches to leverage internal, public and partner datasets and empower data-driven decisions across compound development programs
Multi-disciplinary collaboration to investigate compound and disease properties, influence decision making across the early development of novel therapies, and leverage disease stratification efforts to accelerate patient selection hypotheses ahead of clinical application
Integrate data across assay platforms and transfer knowledge from pre-clinical experiments to clinical trials
Author scientific reports, and present methods, results and conclusions presented to publishable standard
Ph.D. in computational biology, bioinformatics, or related field from a recognized higher-education establishment
6+ years experience applying quantitative approaches to solve biological problems in university, hospital, pharma or biotech research environments
Experience in computational biology research on a wide variety of cell and molecular profiling platforms, with considerable depth of experience in MS proteomics data analysis
Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. R/Bioconductor and contemporary, open-source bioinformatics tools and database structures
Demonstrated ability to infer molecular mechanisms from high-throughput profiling data generated by perturbation of in vitro, in vivo and ex vivo model systems
Proven expertise in the development and/or implementation of algorithms to distill, analyze and interpret complex datasets, with focus on network-based inference and pattern recognition

Technician, Computational Biology Resume Examples & Samples

High school diploma/G.E.D. with 2-3 years of relevant experience or a relevant technical institute graduate or AA degree
Bachelor’s degree in Bioinformatics, Microbiology, Biochemistry, Biostatistics, Computer Science or Engineering
Background sufficient to carry out interdisciplinary research, particularly related to the analysis of ‘omics data, microbiology and environmental science, and be proficient in one or more scripting languages (Perl, Python), as well as one or more statistical computing languages (R or MatLab). S/he should have a strong fundamental biology background with statistical computing experience
Excellent communication skills with a demonstrated interest in working on multi-disciplinary teams and collaborative research. The candidate should also have an interest in applying new approaches and knowledge to science problems associated with carbon cycling, bioenergy, climate change, and/or the underlying physiological and biological mechanisms governing host-microbiome interactions

Computational Biology Scientist Resume Examples & Samples

Serve as computational biology lead for project supports on translational and exploratory data analysis
Performs advanced analysis of DNA-seq, RNA-seq and other sequencing data in combination with publicly available genomics data by applying unsupervised and supervised machine learning algorithms to extract novel and biologically meaningful information
Method development for translational research, e.g. predictive modeling for patient stratification and disease indication selection
Integrates genomics, genetics, epigenetics and literature data to strengthen understanding of diseases and treatment perturbations
Utilizes multiple approaches for analyses of genes, pathways and networks
Writes study reports and presents data effectively in all settings and with participants of all levels of the organization
PhD or equivalent in bioinformatics, computational biology, or a related field, with at least 6 years of bioinformatics experience
Very strong programming skills in R, Python, and/or other languages commonly used for bioinformatics analysis. Must be expert in applying major bioinformatics tools
Understands the advantages and limitations of various types of human genetic datasets (e.g. GWAS, CNVs, Rare variants, etc.) and has hands on experience in using public human genetics and epigenetics databases
Has a solid background in basic cellular and molecular biology with an understanding of disease areas like oncology and gastrointestinal diseases
Strong communication and team working abilities to contribute in a team that operates as a unit on large projects
Must be an expert in sequencing data analysis such as RNAseq, DNAseq, scRNA-seq, etc
Must have deep knowledge and working experience to apply advanced machine learning methods such as Hidden Markov Chain, Support Vector Machines, neural nets and deep learning algorithms

Research Asst-bioinformatics & Computational Biology Resume Examples & Samples

Writes computer programs to carry out image analysis and predictive modeling
Use computer tools to process medical image (radiology, histopathology, and microscopy) data
Conducts literature reviews and implements the latest techniques
Assists with writing and presentation of technical reports, manuscripts, and presentation materials

Scientist Computational Biology Resume Examples & Samples

You work as an CompBio Expert within the Computational Biology Group together with members of the Therapeutic Area Partner function and members of the Computational Biology Core function
You establish and develop new analysis strategies specifically in but not limited to areas such as statistical or systems genetics and combine these with methods and data from other omics technologies. You use methods from network biology or machine learning on large integrated datasets for indication discovery or target prioritization
You carry out data analyses to generate and test hypotheses in the context of new therapeutic concepts in collaboration with other members of the Computational Biology group or scientists from BI’s Therapeutic Areas for Drug Discovery (Cardiometabolic Research, Central Nervous System Research, Inflammation & Respiratory Research, Immune Modulation & Research Beyond Borders). You support others and drive projects as the responsible computational biologist
You take part in infrastructure development by implementing analysis modules/pipelines and automation of interactions between infrastructure components, or requirements analyses for such systems. You contribute to BI’s global computational biology infrastructure in collaborations with bioinformaticians and members of IT and external partners in international teams

Senior Director, Computational Biology Resume Examples & Samples

Lead computational biology department working on algorithm development, statistical method development, data analysis, and pipeline development across multiple product lines
Recruit top talent to build out group across multiple technical areas
Provide mentorship and guidance to group members as well as people in other departments
Provide technical guidance and insights to group members on most challenging problems
Work closely with software group to optimize systems and tools for both externally-facing software and internally-facing data analysis and exploration tools
Work closely with molecular biology and other groups to build out statistical methods and tools to drive assay and platform development for new products
Work closely with applications group to build out prototype methods demonstrating additional uses of data from 10x products
Engage with customers and external developers to encourage expansion of novel approaches to data analysis, resulting in a growing ecosystem of 10x’s products and their wider spread applications
Translate analytical methods and concepts to broader audiences of non-computational scientists
Work with other departments to help develop efficient processes for product development as the company and product portfolio grows
Articulate and execute on strategic plans for technology/infrastructure development in key technical areas
Plan resourcing and budgets across multiple projects and efforts
PhD in quantitative field (e.g. computer science, physics, mathematics, computational/systems biology, or similar)
Extensive experience managing teams of scientists and/or engineers from a variety of backgrounds
A strong desire to build game-changing technologies and impact the world of life science research
Experience developing and deploying commercial software products
Experience working closely with assay development groups to build and optimize novel assays and reagents
Hands-on experience working with data from existing NGS platforms (e.g., Illumina, Ion Torrent, PacBio, etc.)
Experience in single-cell genomics a significant plus
Strong leadership and organizational skills

Senior Scientist, Computational Biology Resume Examples & Samples

Pursue leading systems and clinical immunology research towards key Celgene scientific objectives, including coordination and mentorship of junior staff as required
Integrate data across multiple experimental platforms and transfer knowledge from pre-clinical experiments to clinical trials
Ph.D. in immunology, computational biology, clinical statistics, or related discipline
6+ years post-doctoral experience in inter-disciplinary computational and clinical research in university, hospital or biotechnology environments
Experience with analysis of large immuno-profiling datasets including gene expression (RNA-Seq, microarray, qPCR) and flow cytometry and associated statistical analyses required
Expertise in machine learning and implementation of various algorithms required
Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g. Python or R, and a wide range of contemporary, open-source informatics tools and database structures in Linux & cloud computing environments

Postdoctoral Fellow Computational Biology Resume Examples & Samples

Developing QTL analyses and network-centric approaches for carrying forward genetic variations into mechanistic insights
Pioneering deep-learning algorithms for biomedical research
Deriving novel insights using longitudinal progression-based patient records
Expertise in GWAS and QTL analyses
Experience with public datasets GTEx, ENCODE, ADNI a plus
Experience with deep learning a plus
Experience with relevant programming/scripting tools (e.g. R, MATLAB, Python, C/C++)
Knowledge and/or interests in autoimmune and/or neurodegeneration indications a bonus
A track record demonstrating scientific creativity, collaboration, and independence

Computational Biology Scientist Resume Examples & Samples

Search our large data set to find genes in classes with known pesticidal activity and to discover novel pesticidal gene classes
Work in collaboration with biochemists to prioritize strains for activity guided fractionation based on genome sequences
Interpret basic biochemistry literature relating to gene function
Ph.D. with minimum years’ relevant experience, MS with minimum of (2) two years’ relevant experience, or BS with minimum of (5) five years’ relevant experience in bioinformatics, statistics, microbiology, genetics or a related field
Strong mastery of a subset of bioinformatics, machine learning or statistics skills
Extensive knowledge of at least one scripting language, e.g. Python, Perl, etc., and of relational databases
Demonstrated ability to work in a team environment and the ability to adapt to the atmosphere of a dynamic research organization
Experiences in the following areas: comparative genomics, structural and molecular bioinformatics, machine learning, and statistical design of experiments

Bioinformatics / Computational Biology Fellow Resume Examples & Samples

Currently pursuing a graduate degree in computer science, machine learning, bioinformatics, population genetics, statistics, or a related technical field. Outstanding masters or undergraduate candidates will be considered
High levels of creativity
Independent, with a demonstrated ability to work on a team
Outstanding programming and data visualization skills
Solid understanding of human genetics and inheritance
Machine learning and/or statistics experience desired
Previous research experience in bioinformatics or population genetics desired

Computational Biology Resume Examples & Samples

Basic knowledge of genomics, cancer biology and genetics
Hands-on experience in genomics data analysis
Familiar with basic bioinformatics tools/algorithms such as data normalization, DEG analysis etc
Strong statistics and math background
Strong programming skills in R or other languages
Working experience in Linux, cluster, and/or cloud environment

Scientist, Computational Biology Resume Examples & Samples

Integrate data across multiple public datasets and platforms to identify new targets, evaluate external opportunities, and influence clinical trial decisions
Apply published computational approaches to generate key insights
Develop or maintain data management workflows
Present and report methods, results and conclusions to a publishable standard, both internally and outside the company where required. Contribute to study reports, invention disclosures, investigator brochures, IND applications, and other regulatory documents
Ph.D. in immunology, computational biology, clinical statistics, or related discipline, with 1+ years experience in applied computational research in university, hospital or biotechnology environments; or M.S. or B.S. with 4+ or 6+ years of equivalent experience, respectively
Experience with analysis of large immune and disease related gene expression datasets and associated statistical analyses required
Demonstrated experience using R or python with biostatistics such as linear regression and exploratory approaches, such as Principal Component Analysis
Expertise using a wide range of contemporary, open-source informatics tools and database structures in varied computing environments
Excellent verbal and written communication skills. Fluent verbal and written English language skills are required

Postdoctoral Fellow, Computational Biology Resume Examples & Samples

Demonstrated experience in applied probabilistic modeling/machine learning
Competent programmer fluent in Unix/Linux, Perl or Python, and R or Matlab or equivalent
Working knowledge and understanding of molecular and cell biology
Basic understanding of molecular profiling
Strong interpersonal, oral, and written communication skills
Previous experience in cancer biology is a plus

Director Computational Biology & Genomics Resume Examples & Samples

As a Director you are overall responsible for leading and managing the research group Computational Biology & Genomics (~20 reports) within the department Target Discovery Research
You will hold the entire responsibility for generation of necessary RNA/DNA-sequencing data using NGS or single cell analysis (internal lab and CRO), statistical and biological analysis and interpretation of internally produced and externally available biomedical data
In your role you will contribute to the generation of New Therapeutic Concepts and discovery of novel biomarkers in collaboration with Therapeutic Areas Immunology & Respiratory, Cardio-Metabolic, CNS-diseases, Cancer Immunology and Research Beyond Borders
You are responsible for setting up and managing a network of external collaborations with the focus on New Therapeutic Concept generation and biomarker discovery
As a Director you are accountable for budget and headcount of the Group Computational Biology & Genomics
You contribute to the coordination of global Computational Biology data and expertise platforms in collaboration with other Boehringer Ingelheim research centers in Vienna (AUT) and Ridgefield (US)

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