Senior Computational Biologist, Cancer Genomics (Remote)

Freenome; United States; Hybrid; USD 188,275 - 270,375; Full time

Benefits offered by this job

Equity

Cash bonuses

Comprehensive benefits

Job summary

Freenome is seeking a seasoned Staff Computational Biologist to drive the Computational Science team, applying genomics, modeling, and statistics to identify cancer signatures and advance product-ready models.

You will collaborate with ML scientists and computational biologists to translate models into clinical-stage applications while leading project direction and mentoring colleagues. The role offers onsite, hybrid, or US-remote options from Brisbane, CA.

Qualifications

• PhD or equivalent in a quantitative field (computational biology, cancer biology, statistics, bioinformatics).
• 8+ years post-PhD applying computational techniques for biological discovery in industry settings (cancer/diagnostics preferred).
• Deep oncology and molecular biology expertise applied to computational biology problems.

Responsibilities

• Lead analysis and interpretation of cancer molecular signatures on the Computational Science team.
• Develop models to characterize biological changes in cancer and progression.
• Perform rigorous analyses on sequencing and proteomics data (WGS, RNA-seq, cfDNA, proteomics).
• Design novel statistical models for evaluating these data types in cancer biology contexts.

Skills

Python

Numpy

Pandas

Scikit-learn

TensorFlow

PyTorch

R

C/C++

Education

PhD in quantitative field

Job description

Freenome is seeking a seasoned Staff Computational Biologist to drive the Computational Science team, applying genomics, modeling, and statistics to identify cancer signatures and advance product-ready models.

You will collaborate with ML scientists and computational biologists to translate models into clinical-stage applications while leading project direction and mentoring colleagues. The role offers onsite, hybrid, or US-remote options from Brisbane, CA.