R&D Scientist III, Algorithm Developer

Position Summary
This position requires thorough documentation of analytical methods, validation studies, and pipeline updates in technical reports, supporting both internal development and regulatory needs. The R&D Scientist will work collaboratively with cross functional teams, including assay development, bioinformatics, and quality groups.
Candidates should hold a Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field, or an M.S. with 3+ years of relevant experience. Required expertise includes hands on‑ experience with NGS data analysis, particularly sequencing performance metrics, as well as strong programming skills in Python and/or R.
Key Responsibilities
Perform in-depth analytical analysis of NGS sequencing data to evaluate sequencing performance metrics and support assay development
Validate and verify computational algorithms used within NGS analysis pipelines
Support NGS panel design activities, including analytical assessment and quality considerations
Conduct end-to-end validation of NGS analysis pipelines to ensure accuracy, reproducibility, and robustness
Support quality assurance efforts through data review, troubleshooting, and performance monitoring
Document analytical methods, validation studies, and pipeline updates in clear, well-structured technical reports
Collaborate with cross functional teams, including assay development, bioinformatics, and quality, to support R&D objective
Required Qualifications
Ph.D. in Bioinformatics, Computational Biology, Genomics, Computer Science, or a related field; or M.S. with 3+ years of relevant experience
Hands‑on experience with NGS data analysis, including evaluation of sequencing performance metrics and assay quality
Experience validating computational algorithms or bioinformatics analysis pipelines
Proficiency in Python and/or R for data analysis and pipeline development
Strong analytical, documentation, and collaboration skills within a cross functional‑ R&D environment
Preferred Qualifications
Knowledge of clinical genomics applications, including NIPT or cancer genomics
Experience or familiarity with pharmacogenomics (PGx) and complex variant analysis
Exposure to rare disease genomics and germline variant analysis
Equal Opportunity Employer
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