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Salary: USD 131,325 - 189,525 / annual
Freenome is seeking a Computational Biologist to join the Computational Biology, Assay Research (CBAR) team. You will apply your scientific expertise to develop early, noninvasive cancer detection tests using cfDNA as a biomarker. Working closely with cross-functional teams including Molecular R&D and Model R&D, you will design and execute research studies to advance prototype cancer early detection products.
Key responsibilities include leading the analysis and interpretation of molecular and clinical data in early cancer detection contexts, serving as a thought leader on the Computational Science team. You will suggest research hypotheses and areas for computational model and assay improvement, then plan, scope, and execute associated research in partnership with multidisciplinary teams. You'll develop bioinformatics pipelines to enable high-throughput NGS data processing and analysis, and collaborate with wet lab scientists to rapidly characterize and iterate on experimental methods by providing real-time assessments of assay performance, quality control, and clinical utility.
Required qualifications include a PhD in computational biology, cancer biology, statistics, bioinformatics, or a related quantitative field. You must have demonstrated experience in NGS assay and pipeline development with a track record of implementing complex workflows for high-throughput NGS data processing. Strong quantitative reasoning and data analysis skills are essential, along with solid computational and programming expertise in Python statistical packages (NumPy, Matplotlib, Pandas) or equivalent R experience. Excellent oral and written communication skills are required to engage both scientific and broader audiences, and you must be able to work effectively on cross-functional teams in a highly collaborative environment.
Nice-to-have qualifications include expert knowledge of chromatin biology, liquid biopsy, DNA methylation and their relevance in cancer early detection, extensive experience working with DNA methylation data for biomarker discovery, and experience developing, applying, and evaluating statistical and machine learning algorithms. The role reports to a Manager and Senior Staff Computational Biologist and can be hybrid or fully remote.
