Research & Development Scientist III, Algorithm Developer

Baylor Genetics • Houston, TX

4d

About The Position

We are seeking an R&D Scientist in Algorithm Development to support the development, validation, and quality assurance of next generation sequencing (NGS) assays and analysis pipelines. This role involves performing in-depth analytical evaluation of NGS sequencing data to assess sequencing quality metrics, support assay development, and ensure robust downstream interpretation. The successful candidate will validate and verify computational algorithms used within NGS analysis pipelines, contribute to NGS panel design, support quality assurance efforts, and conduct end-to-end validation of NGS analysis pipelines to ensure analytical accuracy, reproducibility, and robustness. 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.

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: Mid Level
• Education Level: Ph.D. or professional degree