Location
Remote (United States)
Seniority
Middle
Employment
Full-Time
First seen by Alion on Nov 13, 2026.
Overview
Company
Impact
Profile match
Baylor Genetics specializes in clinically relevant genetic testing and helps determine an individual’s chance of developing or passing on a genetic disorder. Baylor Genetics excels in the field go genetics and precision medicine.
Note: The job is a remote job and is open to candidates in USA. Baylor Genetics is hiring an R&D Scientist III, Algorithm Developer to evaluate NGS sequencing performance and support assay development. The role validates computational algorithms and NGS analysis pipelines, contributes to panel design and quality assurance, documents analytical work, and collaborates with cross-functional teams.
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
Skills
- 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
- 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
Benefits
- Remote work arrangement
Company Overview
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