# Senior Scientist, Computational Biology at Eikon Therapeutics

- Company: Eikon Therapeutics
- What the company does: Advancing breakthrough therapeutics through the purposeful integration of science and engineering. Backed by Lux.
- Company website: https://eikontx.com
- Type: Startups
- Level: Senior
- Location: Millbrae, CA
- Work setup: On-site
- Pay: $178K to $215K base salary per year (USD)
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://job-boards.greenhouse.io/eikontherapeutics/jobs/5241314007
- Page: https://www.1752.vc/careers/jobs/eikon-therapeutics-senior-scientist-computational-biology/

## About the role

For this role, we are seeiking an experienced, rigorous, and results-driven computational scientist with a strong track record driving high impact contributions to advance early research drug discovery programs. You are an enthusiastic and generous collaborator who is skilled in both traditional and emergent drug discovery technologies and is comfortable working in a fast-paced, cross-functional environment uniting diverse disciplines and subject matter experts .

## What they're looking for

- Drive the development and adoption of novel experimental systems and techniques relevant to Eikon’s target portfolio, collaborating closely with experimental and computational teams across programs
- Develop and apply analytical approaches, statistical methods, and proof-of-concept tools to support new experimental strategies
- Analyze multimodal data to evaluate experimental systems, identify enabling insights, and define the limits of interpretation for biological applications
- Apply statistical, biological, and experimental expertise to evaluate complex experiments. Distill information from diverse sources to reach relevant and testable biological conclusions
- Experience working with large consortia and public datasets such as UK Biobank, TCGA, GTEx, ENCODE, gnomAD, and Human Cell Atlas
- Demonstrated record of impactful research, evidenced by publications in peer-reviewed journals

Tags: Quantitative Biology