Senior Computational Biologist

Summary

Join Freenome, a high-growth biotech company developing cancer detection tests, as a Senior Computational Biologist, Assay Research. You will apply your expertise to develop early, noninvasive cancer detection tests using a multiomics platform. Lead data analysis and interpretation, suggest research hypotheses, and develop bioinformatics pipelines. Collaborate with wet lab scientists to characterize experimental methods and stay at the forefront of molecular techniques in oncology. This hybrid or remote role reports to a Senior Manager of Computational Biology and offers a competitive salary and benefits package.

Requirements

• PhD degree in computational biology, cancer biology, statistics, bioinformatics, or related quantitative field
• 3+ years of scientific industry experience applying computational techniques for biological discovery and product development, ideally to cancer or diagnostics applications in industry
• Extensive experience in NGS assay and pipeline development. Demonstrated track record of implementing complex workflows for high throughput NGS data processing
• Strong quantitative reasoning and data analysis skills, with a demonstrated ability to apply them effectively to relevant scientific problems
• Strong computational and programming skills, including thorough experience with Python statistical packages (Numpy, Matplotlib, Pandas) or equivalents in other languages like R
• Excellent oral and written communication skills to communicate to both scientific and broader audiences
• Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists

Responsibilities

• Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection, serving as a key thought leader on the Computational Science team
• Suggest research hypotheses and areas for potential computational model and assay improvement; then plan, scope, and execute associated research in partnership with a multidisciplinary team
• Develop bioinformatics pipelines to enable high throughput NGS data processing and analysis
• In collaboration with wet lab scientists, rapidly characterize and iterate on experimental methods by providing real-time assessments of assay performance, quality control, and clinical/diagnostic utility
• Remain at the forefront of molecular techniques in oncology, and collaborate with the larger team to bring forward the next generation of assays for early cancer detection

Preferred Qualifications

• 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 research
• Experience in developing, applying, and evaluating statistical and/or machine learning algorithms

Benefits

• The US target range of our base salary for new hires is $161,925 - $247,000
• You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered