Computational Biologist

At Freenome, the team is seeking a Computational Biologist, Assay Development to help grow the Computational Biology, Assay Development (CBAD) team (can be a Senior Computational Biologist role depending on experience). The role applies scientific expertise to the development of early, noninvasive tests for cancer detection, developing, writing, and executing analysis plans and reports for the development and characterization of in vitro diagnostic devices and regulatory filings. The role reports to the Director of Computational Biology. This position can be a hybrid or fully remote role.

Responsibilities

Plan and execute development experiments for Freenome's multiomics cancer screening tests; Partner cross-functionally with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy working toward FDA approval; Use quantitative skills to develop computational methods and interpret complex experimental results in order to optimize and validate innovative technology for sample collection, preparation, and detection; Develop and execute appropriate experimental design and analysis plans for Development, Verification, and Validation studies, closely partnering with Biostatistics, Development, and Pre-Analytics teams; Work closely with molecular and computational research teams developing Freenome's IVD products for blood-based molecular assays including cell-free DNA, proteins, and additional biomarkers; Impact patient lives through the development and launch of high quality cancer screening technologies

Requirements

Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field; 2-3+ years of industry experience (for Sr. Scientist level); Experience in experimental design and analysis of high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, or proteomics (e.g. target capture with UMI, Hi-C, ATAC-seq, RNA-seq, bisulfite sequencing, microarrays, mass spec, immunoassays); Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays; Experience in applied statistics, such as in hypothesis testing, regression techniques, and appropriate use of simulation; Expertise in data analysis and visualization using R (tidyverse), or Python statistical packages (Numpy, Matplotlib, Pandas), or equivalent, under version control; Excellent oral and written communication skills to communicate to scientific and broader audiences, with keen attention to detail; Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists

Nice to have

Experience in the development of diagnostic devices in a regulated environment (PMA, 510(k), CE-IVD) preferred (for Sr. Scientist level)

Benefits

Equity; cash bonuses; full range of medical, financial, and other benefits depending on the position offered