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   Preferred experience with Linux/HPC, Docker containerization, Nextflow workflow development, GitHub-based software engineering, and Python/Groovy programming.

Familiarity with cloud platforms and NGS data formats (FASTQ, BAM, VCF), along with CI/CD, workflow automation, troubleshooting, and developing reproducible bioinformatics pipelines.     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