Computational Biologist I

Summary

Join Freenome, a high-growth biotech company developing cancer detection tests, as a Computational Biologist I, Assay Development. You will apply your scientific expertise to develop early, noninvasive cancer detection tests. Responsibilities include planning and executing development experiments, partnering with cross-functional teams, developing computational methods, and interpreting experimental results. The role requires a post-graduate degree in a quantitative field and experience in experimental design and analysis of high-throughput technologies. This hybrid role, based in Brisbane, California, or remote, reports to the Director of Computational Biology. Compensation includes a competitive salary, pre-IPO equity, cash bonuses, and a full range of benefits.

Requirements

• Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field
• Experience in experimental design and analysis of high-throughput, quantitative technologies in genomics, epigenomics, or transcriptomics (e.g. target capture with UMI, Hi-C, ATAC-seq, RNA-seq, bisulfite sequencing, microarrays)
• Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays
• Experience in applied statistics, such as in hypothesis testing, GLM, 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

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 your 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 involving cell-free DNA
• Impact patient lives through the development and launch of high quality cancer screening technologies

Preferred Qualifications

Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists

Benefits

• The US target range of our base salary/hourly rate for new hires is $131,325 - $201,000
• 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