Computational Biologist

Booz Allen Hamilton • Boston, MA

2d

About The Position

Computational Biologist The Opportunity : Provide statistical and computational analysis capabilities for large genetic datasets. Develop and execute research plans involving analysis of large-scale multi-omics data. Document and disseminate best practices and met hods for genomic analysis. Present data and results in client meetings and in scientific forums. Write manuscripts, abstracts, and white papers.

Requirements

• Experience with programming in R or Python
• Experience with statistical and computational analysis of genomic data
• Knowledge of human genomic data and common open-source genomic analysis tools
• Ability to independently c ond uct analysis, report results, and draw conclusions
• Ability to communicate complex concepts clearly and concisely to management, clients, researchers, and on-site staff
• Ability to quickly digest new concepts and apply them
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Doctorate degree in Genetics, Computational Biology, Statistics, Bioinformatics, or Biomedical Engineering

Nice To Haves

• Experience c ond ucting analyses in high-performance computing environments
• Experience with Next Generation Sequencing or array genotype data
• Experience with large population cohorts, including the UK Biobank and All of Us
• Experience with data standardization and harmonization for clinical Electronic Health Records
• Experience working with controlled vocabularies and c ond ucting large-scale phenome-wide asso cia tion studies and genome-wide asso cia tion studies analysis
• Experience with multi-omics data analysis, machine learning met hods, and statistical modeling

Responsibilities

• Provide statistical and computational analysis capabilities for large genetic datasets.
• Develop and execute research plans involving analysis of large-scale multi-omics data.
• Document and disseminate best practices and met hods for genomic analysis.
• Present data and results in client meetings and in scientific forums.
• Write manuscripts, abstracts, and white papers.

Benefits

• health, life, disability, financial, and retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care
• recognition awards program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees