Senior Computational Biologist, Cancer Genomics & Modeling

Freenome; Brisbane (CA); Hybrid; USD 188,275 - 270,375; Full time

Benefits offered by this job

Equity

Cash bonuses

Medical benefits

Job summary

Freenome seeks a seasoned Staff Computational Biologist to lead the Computational Science team in identifying cancer molecular signatures and advancing models for clinical products. The role combines genome-scale analyses with statistical modeling and cross-functional collaboration to bring research findings toward clinical applications.

You will guide model development, collaborate with ML scientists, and drive projects from hypothesis to implementation while mentoring junior team members in a

Qualifications

• PhD or equivalent in a relevant quantitative field (computational biology, statistics, bioinformatics).
• 8+ years post-PhD experience applying computational techniques to biological discovery and product development.
• Deep expertise in cancer biology and molecular biology for computational/dx problems.

Responsibilities

• Lead analysis of cancer molecular signatures and develop predictive models.
• Collaborate with ML scientists to advance computational models and assays.
• Conduct rigorous analyses on sequencing and proteomics data to inform products.

Skills

PhD in quantitative field

8+ years post-PhD experience

Genomics / cancer biology expertise

Python (NumPy, Pandas, Matplotlib)

ML frameworks (Scikit-learn, Tensor</n

Education

PhD in relevant field

Tools

Python

R/C/C++

Genomics data analysis tools

Job description

Freenome seeks a seasoned Staff Computational Biologist to lead the Computational Science team in identifying cancer molecular signatures and advancing models for clinical products. The role combines genome-scale analyses with statistical modeling and cross-functional collaboration to bring research findings toward clinical applications.

You will guide model development, collaborate with ML scientists, and drive projects from hypothesis to implementation while mentoring junior team members in a