Staff Computational Biologist

To support the growth of the Computational Biology, Assay Research team, the remote Staff Computational Biologist will lead the analysis of molecular and clinical data for early cancer detection, develop bioinformatics pipelines, and collaborate cross-functionally on research studies. Key responsibilities: Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection Plan, scope, and execute research hypotheses for computational model and assay improvement in collaboration with multidisciplinary teams Develop bioinformatics pipelines for high throughput NGS data processing and analysis Required qualifications: PhD in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field 6+ years of scientific industry experience in applying computational techniques for biological discovery and product development Extensive experience in NGS assay and pipeline development Strong computational and programming skills, particularly with Python statistical packages or equivalents Ability to work effectively in a cross-functional team environment