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