R&D Scientist III, Algorithm Developer

Baylor Genetics • ,

3h

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree