R&D Scientist III, Algorithm Developer

Description 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 Qualifications Skills Behaviors : Motivations : Education Required PHD or better in Biology.