Computational Biology & Genomics Scientist — Health R&D Leader

Booz Allen Hamilton; Washington (District of Columbia); On-site; USD 120,000 - 190,000; Full time

Job summary

Booz Allen Hamilton in Washington, DC, is seeking a Computational Biology & Genomics Scientist to join mission‑driven teams supporting ARPA‑H programs. You will apply multi‑omics expertise and advanced analytics to shape research agendas, assess technologies, and help deliver government‑funded health innovations.

This role emphasizes collaboration with government clients, cross‑disciplinary teams, and rigorous scientific communication.

Qualifications

• Experience in human genetics and omics research with data generation and analysis.
• Strong background in computational methods for high‑dimensional biological data.
• Experience with large cohorts and multi‑type data integration.
• Ability to manage budgets, milestones, and multi‑site research programs.

Responsibilities

• Provide expertise for multi-factor autism trajectory research and systems biology initiatives.
• Evaluate conceptual and technical soundness of research programs.
• Define program goals, milestones, budgets, and performer expectations.
• Conduct technical reviews to ensure alignment with ARPA‑H objectives.
• Interact with clients, government officials, and executives across sectors.
• Develop stakeholder management strategies and engage across offices and agencies.

Skills

Human genetics

Omics data analysis

Bioinformatics

Machine learning

Program management

Education

Master’s degree in Human Genetics, Genomics, Bioinformatics, Computational Biology, Biostatistics, Epidemiology, or Systems Biology

Doctorate degree in Human Genetics, Genomics, Bioinformatics, Computational Biology, Biostatistics, Epidemiology, Systems Biology, or a related field

Job description

Booz Allen Hamilton in Washington, DC, is seeking a Computational Biology & Genomics Scientist to join mission‑driven teams supporting ARPA‑H programs. You will apply multi‑omics expertise and advanced analytics to shape research agendas, assess technologies, and help deliver government‑funded health innovations.

This role emphasizes collaboration with government clients, cross‑disciplinary teams, and rigorous scientific communication.