Also available on
Job Description
📋 Description Lead analysis and interpretation of molecular and clinical data for early cancer detection. Hypothesize research directions and plan cross-functional studies with a multidisciplinary team. Develop bioinformatics pipelines for high-throughput NGS data processing. Collaborate with wet-lab scientists to assess assay performance and clinical utility in real time. Stay at the forefront of molecular techniques to advance next-generation assays. 🎯 Requirements PhD in computational biology, cancer biology, statistics, bioinformatics, or related field. 6+ years in industry applying computational methods for biological discovery or product development. Extensive experience in NGS assay and pipeline development for high-throughput data. Strong quantitative reasoning and data analysis skills applicable to scientific problems. Proficient programming in Python (Numpy, Pandas, Matplotlib) or similar R packages; strong Ability to work cross-functionally with computational and experimental scientists. 🎁 Benefits Equity, cash bonuses, and a comprehensive benefits package based on position and location.
