Join the AI-first team that is transforming precision medicine into everyday clinical practice.
Play a major role in designing, validating, and continuously improving clinical-grade pipelines across pharmacogenomics (PGx), polygenic risk scoring (PRS), and other WGS applications.
Produce production-grade tools capable of deriving clinical utility from raw genomic data.
Work hand-in-hand with software engineers, medical subject matter experts, and regulatory leaders to deliver clinical grade interpretations directly in the hands of physicians.
Architect and optimize clinical genomics pipelines in your area of expertise: PGx track and PRS track.
Curate and maintain annotation stacks integrating domain-specific databases and proprietary AI-derived knowledge graphs.
Implement validation, reproducibility, and audit trails; pipeline change-control logs; briefing decks.
Partner with software and AI engineers to integrate genomic features into AI models. Participate in cross-team design reviews and internal workshops on clinical curation and validation.

PhD (or MS with 5+ yrs experience) in Genetics, Genomics, Bioinformatics, Computational Biology, or related field.
4+ yrs deep expertise in one of the following:
Pharmacogenomics: star-allele calling, diplotype assignment, phenotype prediction, complex locus resolution
Polygenic risk scoring: PRS development (PRS-CS, LDpred, etc.), multi-ancestry methods, clinical calibration, integrated scoring with phenotypic+monogenic data
Solid grasp of variant calling (DRAGEN, GATK), structural variant/copy number variant detection, and functional annotation methods.
Proficiency in Python for production-grade code, full unit-test coverage, REST API usage, reproducible statistical analysis, and visualizations; AWS database resource familiarity.
Experience working in an agile based software organization, clearly documenting ticketed work, and modifying code in git-tracked production code bases.
Comfort with AWS services (Lambda, Fargate, Step Functions, Glue, Athena).
Highly comfortable with AI-based development tools (Claude Code, Cursor, OpenAI Agents).

Senior Bioinformatics Scientist/Engineer

Key skills