R&D Scientist III, Algorithm Developer at Baylor Genetics in Remote

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