Biologicial Data Analyst
HybridChantilly, Virginia, United States
Job Summary
Analyze genomic, sequencing, and biological datasets to identify microbial characteristics, genetic variants, mutations, and potential biological hazards. Execute, maintain, and optimize bioinformatics pipelines for sequence alignment, variant identification, and data processing while developing automated workflows using Python, R, or other scientific computing languages. Interpret complex findings through technical reports and briefings tailored to technical and non-technical audiences, collaborating with scientists and subject matter experts to evaluate data against mission objectives. Ensure data integrity, reproducibility, and compliance with quality standards while supporting continuous improvement of analytical methodologies. Maintain biological databases and deliver actionable insights that inform mission-critical decision-making for defense and government customers.
Required Qualifications
- Clearance: TS/SCI with Full-Scope
- Bachelor's, Master's, or Ph.D. in Bioinformatics
- Bachelor's, Master's, or Ph.D. in Computational Biology
- Bachelor's, Master's, or Ph.D. in Computational Genetics
- Bachelor's, Master's, or Ph.D. in Biology with a computational emphasis
- Bachelor's, Master's, or Ph.D. in a related quantitative life sciences discipline
- Two (2) or more years of professional experience analyzing biological data or developing bioinformatics workflows
- Proficiency in Python, R, or another scientific programming language for biological data analysis
- Experience using standard bioinformatics tools for sequence alignment and genomic analysis
- Familiarity with genomic databases and biological data repositories
- Experience processing, analyzing, and interpreting genomic or sequencing datasets
- Strong analytical, problem-solving, and technical communication skills
- Location: Chantilly, VA
Desired Qualifications
- Experience supporting federal government, defense, or national security programs
- Familiarity with microbial genomics, pathogen characterization, or biological threat analysis
- Experience developing automated bioinformatics pipelines
- Knowledge of biological database management and data quality assurance practices
- Ability to communicate complex scientific findings to diverse technical and non-technical audiences
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