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 This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.