# Staff Computational Biologist at Freenome

- Company: Freenome
- What the company does: Freenome is a private biotech company focused on developing blood tests to detect cancer early and make screening accessible for everyone. Backed by a16z, GV and CRV.
- Company website: https://www.freenome.com
- Type: Startups
- Level: Senior
- Location: Remote
- Work setup: Remote
- Pay: $188K to $270K base salary per year (USD)
- Posted: 2026-08-05
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/freenome/jobs/8658763002
- Page: https://www.1752.vc/careers/jobs/freenome-staff-computational-biologist-2/

## About the role

At Freenome, we are seeking a Staff Computational Biologist to help grow the Freenome Computational Biology, Assay Research (CBAR) team. As part of our team, you will apply your scientific expertise to the development of early, noninvasive tests for cancer detection. With a strong background in NGS assay development, bioinformatics, statistics, and molecular biology, you will design and execute research studies to drive early research of prototype cancer early detection products using cfDNA as biomarker.

## What they're looking for

- PhD degree in computational biology, cancer biology, statistics, bioinformatics, or related quantitative field
- 6+ 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

Tags: Computational Science