Computational Biology Resume Sample

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Work Experience


Senior Director, Computational Biology
05/2016 - PRESENT
Houston, TX
  • Develop and execute against an IT roadmap for Agro Discovery that integrates current and emerging computational solutions for data-intensive discovery and development projects. Integrate off-the-shelf solutions with project-specific design elements to create a discovery and applications pipeline that enables field and bench scientists to efficiently manage their data and analytical needs
  • Liaise with internal R&D and Information Services functions and manage external relationships with IT service providers to integrate computational discovery platforms with existing IT infrastructure to ensure data security, integrity, and accessibility. Be the point person on the Agro Discovery's team data and computational needs
  • Build and administer a data stewardship and quality assurance system to ensure that high-quality data is easily accessible in a consistent manner. Establish and maintain data quality standards and reference data attribute libraries (crop ontology, reference measurement standards, etc.). Maintain accurate records of all technical activities in compliance with company standards
  • Manage 2-3 direct reports including Bioinformaticians and other Data Analysts
  • 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
  • In a senior leadership role
  • Familiarity with developing complex platforms preferably in the life sciences industry
Scientist, Computational Biology
05/2011 - 04/2016
New York, NY
  • Experience within the field of Computational Biology in a pharmaceutical industry or biotech background
  • Experience in one of the above mentioned Therapeutic Areas is highly advantageous
  • Additionally, applicants show a proven track record of several years of successfully scientific working
  • Very strong leadership skills and networking capabilities and enjoy working in interdisciplinary teams
  • Excellent communication and presentation skills in English language complete the profile
  • Analyze internal and external -omic data sets to develop novel therapeutics and biomarkers
  • Pursuit and supervision of leading computational biology and genetics research towards key Celgene scientific objectives
  • Active participation as a core team member and subject matter expert in the Research Analytics group
Intern, Computational Biology
07/2007 - 11/2010
Los Angeles, CA
  • Demonstrated ability to lead cross-functional teams and get results through others
  • Make recommendations and decisions considering relevant business drivers and to meet market needs in a rapidly-growing and dynamic environment
  • Successful track record establishing strong relationships across a global organization
  • Strong problem solving and analytical abilities at a strategic and functional level
  • Contribute to planning and execution of collaborative projects with leading academic and commercial research groups worldwide
  • 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
  • Ph.D. in bioinformatics, biology or a closely related field and a strong background in target discovery based on omics data

Education


George Mason University - Prince William Campus
2003 - 2007
Science's Degree in Bioinformatics

Professional Skills


  • Excellent communication (oral presentations), reporting (fluent writing of scientific reports), and team working skills are required
  • Strong collaboration, organizational, and communication skills and an ability to work well in a team setting are required
  • Exceptional communication skills (oral and written) as demonstrated by publications & presentations
  • Programming skills in bioinformatics, biostatistics and database management, as well as expertise with relevant software
  • Demonstrated experience applying computational and statistical approaches to deliver insights/hypotheses, e.g. multivariate and machine learning approaches
  • Demonstrated experience in handling NGS and other omics datasets
  • Prior experience (3+ years) in analysis and interpretation of -omics data in academic or scientific research scenarios, supported by high-quality publications

How to write Computational Biology Resume

Computational Biology role is responsible for programming, software, reporting, java, database, languages, english, research, training, coding.
To write great resume for computational biology job, your resume must include:

  • Your contact information
  • Work experience
  • Education
  • Skill listing

Contact Information For Computational Biology Resume

The section contact information is important in your computational biology resume. The recruiter has to be able to contact you ASAP if they like to offer you the job. This is why you need to provide your:

  • First and last name
  • Email
  • Telephone number

Work Experience in Your Computational Biology Resume

The section work experience is an essential part of your computational biology resume. It’s the one thing the recruiter really cares about and pays the most attention to.
This section, however, is not just a list of your previous computational biology responsibilities. It's meant to present you as a wholesome candidate by showcasing your relevant accomplishments and should be tailored specifically to the particular computational biology position you're applying to. The work experience section should be the detailed summary of your latest 3 or 4 positions. Representative Computational Biology resume experience can include:

  • Effective English skills both verbal and written
  • Demonstrated ability to work independently by designing, executing, and troubleshooting experiments
  • A strong background in processing, analyzing and interpreting (molecular) biology and/or clinical outcome data
  • Experience in designing and implementing omics studies
  • Experience in NGS data processing and evaluation
  • Experience with clustering is also highly encouraged

Education on a Computational Biology Resume

Make sure to make education a priority on your computational biology resume. If you’ve been working for a few years and have a few solid positions to show, put your education after your computational biology experience. For example, if you have a Ph.D in Neuroscience and a Master's in the same sphere, just list your Ph.D. Besides the doctorate, Master’s degrees go next, followed by Bachelor’s and finally, Associate’s degree.

Additional details to include:

  • School you graduated from
  • Major/ minor
  • Year of graduation
  • Location of school
These are the four additional pieces of information you should mention when listing your education on your resume.

Professional Skills in Computational Biology Resume

When listing skills on your computational biology resume, remember always to be honest about your level of ability. Include the Skills section after experience. Present the most important skills in your resume, there's a list of typical computational biology skills:

  • Demonstrated ability to effectively interface with biologists to communicate and discuss results, ideas, and follow-up experiments
  • Demonstrated ability to effectively communicate with experimental biologists and project teams
  • Demonstrated experience in design and interpretation of in vivo and/or in vitro biological experiments
  • Understanding and practical informatics experience with NGS technologies is required
  • Experience with version control and high performance computing, including cloud computing (e.g. AWS) and cloud HPC ; and
  • Proven expertise in molecular and cellular biology techniques, including CRISPR/Cas9 engineering, mammalian cell culture, and modern cloning techniques

List of Typical Experience For a Computational Biology Resume

1

Experience For Scientist, Computational Biology Resume

  • Identify and validate innovative approaches to improve quality and efficiency of hypothesis generation from experimental data
  • Integrate internal and external large-scale genetics and genomics datasets to inform target identification and validation
  • Familiarity with current software engineering methodologies, such as Agile, source control, unit testing, and issue tracking is desirable
  • Introduction of knowledge discovery and data mining methods to support protein and strain engineering
  • Expertise in genome sequencing, data handling and analysis, database management, statistics, big data analysis and knowledge discovery
  • Perform testing on multiple applications and maintain unit tests
  • Knowledge of Amazon Web Services (AWS), including command line interface (CLI) is desirable
  • Technical expert in bioinformatics with a focus on genome sequencing and genome analysis
2

Experience For Senior Director, Computational Biology Resume

  • Central data management including the development of relevant databases for molecular biotechnology
  • Enjoy working in a complex and interdisciplinary environment between biotechnology and bioinformatics
  • Keep abreast of scientific literature, emerging approaches and innovations in computational analysis of microbiome populations
  • Work in interactive team environments while also conducting self-directed research within broader goals set by JHMI is required
  • Develop and customize data processing, QC, and analysis pipelines for in-house NGS and genomics studies
  • Manage and analyze complex biological data sets
  • Build gene sets focused on tumor biology
  • Program in Python or R, with appropriate documentation
  • Visualize and communicate results
3

Experience For Senior Scientist, Computational Biology Resume

  • Present data findings and analysis to internal teams
  • We are a highly collaborative team, and the ability to work successfully with other investigators in the lab is critical
  • Ph.D. or M.D. – computational biology or relevant field with no more than 2 years from receipt of PhD
  • Migrate proof-of-concept projects into a more robust, and widely available solutions
  • Ensure accurate, complete and timely collection, delivery and tracking of analytical information from scientist, CRO or collaborators for curation, ingestion, analysis, reporting and presentation
  • Assists with defining, delivering and implementing company’s Research & Early Development analytical data management systems, processes and procedures for collaborating and partnered laboratories
  • Contribute to the development of a web-based application from database/backend to user friendly interface
  • Development of automated workflows for the support of analyzes and work streams in the laboratory
4

Experience For Scientist Computational Biology Resume

  • Active interdisciplinary collaboration within the respective department and in the project teams
  • Expertise in the administration of Linux and Windows systems
  • Independent, team- and result-oriented working, desire to create something new, pronounced hands-on mentality, as well as passion for the development of new ideas and concepts
  • Fluent English and German spoken
  • Implement, standardize and debug bioinformatics tools for use by a broad community of microbiome scientists
  • Analyze internal and external -omic data sets to discover microbiome-host associations, validate or formulate scientific hypotheses, validate published and unpublished research results, identify novel targets for microbiome solutions or microbiome related biomarkers
  • Maintain expert knowledge of computational tools and datasets in the microbiome field. Review, test and benchmark these tools towards implementation and improvement of J&J microbiome programs
5

Experience For Computational Biology Scientist Resume

  • Bioinformatics support to the portfolio of JHMI external partnership projects as needed
  • Perform computational analysis of high-dimensional datasets from model systems, with a focus on mechanism of action studies, mechanisms of resistance, and effective therapeutic combinations through the translation of bioinformatics data
  • Maintain awareness of emerging methods in computational biology and applications for novel omics technologies
  • Deliver testable hypotheses/insights from complex multidimensional data to inform target/compound selection in high quality presentations & publications
  • Provide ad-hoc bioinformatics support to cross-disciplinary project teams
  • Serve as Computational Biology liaison to Medicinal Sciences project teams
6

Experience For Postdoctoral Fellow Computational Biology Resume

  • Participate in analysis work groups and contribute innovative bioinformatics analysis to consortium-based projects
  • PhD in Bioinformatics, Biostatistics, Biological Sciences, relevant natural sciences required,
  • Author scientific reports, and present methods, results and conclusions to publishable standard
  • Work closely with cross-disciplinary project teams to design single-cell transcriptomics and functional genomics experiments and analyze data
  • Develop and apply state-of-the-art computational and statistical methods to deliver testable hypotheses and biological insights
  • Contribute to consortium-based genomics and genetics projects
  • BS, MS, or PhD in Bioinformatics, Computational Biology, Biological Sciences, or relevant natural sciences required,
7

Experience For Intern, Computational Biology Resume

  • 12-14+ (BS), 10-12+ (MS), or 4-6+ (PhD) years relevant experience applying quantitative approaches to solving biological problems, ideally in a pharmaceutical, biotech or comparable context
  • 10-12+ (BS), 8-10+ (MS), or 0-3+ (PhD) years relevant experience applying quantitative approaches to solving biological problems, ideally in a pharmaceutical, biotech or comparable context
  • A team-player mentality

List of Typical Skills For a Computational Biology Resume

1

Skills For Scientist, Computational Biology Resume

  • Multivariate analysis strategies for compound prioritization using integrated collections of diverse experimental and annotation data,
  • Machine learning and/or statistics experience desires
  • Demonstrated expertise in delivering insights/hypotheses from complex multi-dimensional biological data in a biomedical context
  • Experience in analyzing large-scale NGS and other omics datasets
  • Familiarity and experience applying statistical fundamentals and computational science principles applied to life science
  • Experience with mining public data
  • Identify or validate potential therapeutic targets and biomarkers
2

Skills For Senior Director, Computational Biology Resume

  • Build strong links to researchers involved in translational discovery projects and contribute to study designs and project advancement
  • Postdoctoral experience
  • Experience in cloud and/or grid-based computational environments
  • Hands-on experience with computational tools, algorithms and software of NGS data analysis is required
  • Advanced experience with RNA assay and genomics approaches to solve biological problems
  • Strong background in human biology/medicine
  • Post-doctoral experience of inter-disciplinary computational and drug discovery research in university, hospital or biotechnology environments
  • Experience in pharma/biotech research environment preferable
3

Skills For Senior Scientist, Computational Biology Resume

  • A strong background in modeling of biological systems
  • A strong familiarity with tools such as R and/or MATLAB
  • Both practical hands-on clinical and biomolecular data analysis experience and a sound mathematical education level
  • Ph.D. in computational biology, bioinformatics, or related field with at least 6 years of relevant work experience, required
  • Proven expertise in the development and/or implementation of algorithms with focus on pattern recognition, mechanistic inference and biological interpretation
  • Processing and interpretation of large data sets generated by our NGS teams, including development and implementation of analytical tools for troubleshooting
4

Skills For Scientist Computational Biology Resume

  • Handle large data sets efficiently using cutting edge platforms and tools, e.g. Apache Spark or Python MLlib
  • Proficient in programming, scripting, and statistical analysis packages (e.g. R, Matlab) required
  • Knowledge of programming and scripting languages such as R, C++ and Python
  • Perform data analysis of a variety of omics platforms with a focus on next generation sequencing (NGS) data types (DNA, transcriptomics, epigenetics, etc.)
  • Deep understanding of the statistical methods commonly used in omics analysis
  • Knowledge of next generation sequencing statistical analysis (QC metrics, analysis of rare variation)
  • Combine biology and mathematics/statistics in developing new approaches and connect multiple disciplines
5

Skills For Computational Biology Scientist Resume

  • Proficient in writing and communication
  • Implementation and maintenance of data analysis pipelines and analytical tools that enable comprehensive genetic tumor profiling
  • Documentation and testing of newly developed algorithms
  • Able to work in a lab environment
  • Work with functional genomics, metabolomics and proteomics groups, particularly on data integration with genomics platforms
  • Work closely with external genomics and informatics CROs
  • Provision of deep insight into therapeutic mechanisms of action for novel pipeline compounds, and
6

Skills For Postdoctoral Fellow Computational Biology Resume

  • Early identification and predictive leverage of patient phenotypes most likely to benefit from those mechanisms
  • Potential projects include the analysis of genotype and pedigree data, development of novel computational methods, or improvement/optimization of existing algorithms
  • Expert in the analysis of next generation sequencing data sets to include DNA-seq and RNA-seq
  • At least one first author publication in an internationally recognized journal
  • Provision of deep insight into therapeutic mechanisms of action for novel pipeline compounds via computational and systems biology research on preclinical profiling experiments, and
  • PhD in computational biology / bioinformatics, statistics, computer science or related fields, with a firm grasp of genomics and/or genetics, from a recognized higher-education establishment
  • Familiarity with protein interaction/regulatory network collections and network/pathway based analysis methods. Experience with single-cell profiling approaches an advantage
  • Understand and communicate the output of computational biology research to multi-disciplinary scientific teams
  • Verbal and written English language fluency. Proficiency in Spanish would be advantageous
7

Skills For Intern, Computational Biology Resume

  • Track record of peer-reviewed publications in top-tier scientific journals
  • A Ph.D. in genetics, computational biology, bioinformatics, or related field from a recognized higher-education establishment
  • Strong knowledge required of genetic association analysis and interpretation, and applied computational research on large multivariate datasets. Good working knowledge of predictive analytical practice is preferable
  • 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
  • Additional knowledge of molecular virology, immunology, cardiovascular disease, neurology, or other medical fields of application for advanced computational biology methods
  • Algorithms, tools and architectures for Next Generation Sequencing data processing
  • Additional expertise in applications of biostatistics related to evaluation and selection of biomarkers for companion diagnostics development
  • Large scale analysis of genomics data, including gene expression, copy number, mutations, methylation, proteomics, metabolomics and their application within relevant biological fields such cancer and metabolic diseases (diabetes, obesity, etc..)
  • Machine learning and integrative bioinformatics for personalized medicine
8

Skills For VP of Computational Biology Resume

  • Algorithms and tools for systems biology
  • Experience of computational biology research on a wide variety of cellular and molecular profiling platforms, including mRNA profiling, mutational profiling, DNA copy number quantification, epigenetic profiling and proteomics
  • Development and improvement of algorithms to identify chromosomal copy number changes and other actionable genomic alterations in tumor DNA derived from clinical specimens such as FFPE, fresh frozen tissue or blood samples
  • Experience with bioinformatics tools and databases
  • Development of methods and software tools to support large-scale bioinformatics analysis
  • Knowledge of cancer genetics and biology
  • Partner with members of Translational Genome Sciences, Discovery Research, and Clinical Development to identify key questions and priorities that functional genomics experiments can impact
  • Deliver experimental results that help define therapeutic target strategy
9

Skills For Bioinformatics / Computational Biology Fellow Resume

  • Identify opportunities for external collaborations that supplement internal resources and ensure RNA biology and functional genomics research is at the cutting edge
  • Presentation – use your strong computational and data visualization skills to bring together disparate data types in compelling visualization packages that provide end users with the ability to see both ‘the landscape’ and details leading to improved decision-making
  • Relevant experience applying quantitative approaches to solving biological problems, ideally in a pharmaceutical, biotech or comparable context
  • Bioinformatics experience in gene expression/RNAseq analysis is highly desired
  • Experience in pharmaceutical industry and understanding of LIM systems is desirable
  • Experience with relational database, preferably PostgreSQL or MySQL
  • Experience with web application development is required (R Shiny and JavaScript are desirable)
10

Skills For Director Computational Biology & Genomics Resume

  • Experience with Pipeline Pilot and Spotfire programs is desirable
  • Capable of developing strong influential relationships with scientific peers and stakeholders is required
  • Modeling of metabolic pathways to support strain development
  • Reporting, creation or research reports and technical documents
  • Develop, enhance, and automate scientific data capturing, processing, data ingestion and analysis
  • Enjoy designing and creating new bioinformatics approaches, methods and systems
  • Perform EDA, statistical analysis, clustering, and classification

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