Computational Biologist: Bioinformatics & Gene Drive

Systems Planning & Analysis; Arlington (VA); On-site; USD 170,000 - 205,000; Full time

Job summary

Systems Planning and Analysis, Inc. (SPA) is seeking a highly skilled Computational Biology Specialist to support DoD biosecurity and advanced biotechnologies from Arlington, VA.

The role involves evaluating in silico models, analyzing computational pipelines, and assisting program managers with gene-drive simulations and environmental dispersion analyses. The candidate should have a strong quantitative background, experience with CRISPR-Cas systems, and proficiency in Python/R/MATLAB.

Qualifications

• Master’s or PhD in a quantitative life sciences field.
• 8 years of mathematical/computational modeling experience.
• Foundational knowledge of CRISPR-Cas systems and gene drives.
• Proficiency with Python, R, MATLAB, or bash scripting.
• Strong written communication and data presentation skills.
• Active Secret clearance; willingness to report to Arlington, VA full-time.

Responsibilities

• Evaluate complex in silico models and computational pipelines.
• Translate models into clear briefing slides and schematics.
• Support DoD R&D processes, biosecurity frameworks, and program management.
• Review data packages, NGS pipelines, and genomic datasets from collaborators.
• Organize PI reviews, technical interchanges, and stakeholder workshops.

Skills

Python

R

MATLAB

bash scripting

CRISPR knowledge

Technical communication

Education

Master’s degree or PhD in Bioinformatics, Computational Biology, Biomathematics, Population Genetics, Quantitative Ecology, Bioengineering, or related field

Tools

PowerPoint

Job description

Systems Planning and Analysis, Inc. (SPA) is seeking a highly skilled Computational Biology Specialist to support DoD biosecurity and advanced biotechnologies from Arlington, VA.

The role involves evaluating in silico models, analyzing computational pipelines, and assisting program managers with gene-drive simulations and environmental dispersion analyses. The candidate should have a strong quantitative background, experience with CRISPR-Cas systems, and proficiency in Python/R/MATLAB.