- Remote, United States
- Remote
- Contract · Senior
- 4+ years
Develop, optimize, and validate clinical‑grade NGS algorithms for oncology diagnostics, liquid biopsy, and solid tumor genomic assays.
Responsibilities
- Develop and optimize NGS algorithms for detecting SNVs, indels, CNVs, structural variants, and RNA biomarkers.
- Design novel algorithms and analytical methodologies for ctDNA, liquid biopsy, and oncology diagnostics.
- Apply statistical modeling and machine learning techniques to improve assay performance.
- Design and execute analytical validation studies, including sensitivity, specificity, and limit of detection (LoD).
- Develop and monitor clinical‑grade quality control (QC) metrics.
Requirements
- PhD in Bioinformatics, Computational Biology, Applied Statistics, or related field
- Master's/Bachelor's degree with additional industry experience
- Nice to have: DRAGEN
- Nice to have: Sentieon
- Nice to have: machine learning