Lead Computational Biologist: Early Cancer Detection

Freenome; Brisbane (CA); Hybrid; USD 131,000 - 190,000; Full time

Job summary

Freenome seeks a Computational Biologist to advance the CBAR team and develop early cancer detection tests using cfDNA as biomarkers. You will lead analysis, design studies, and build pipelines for high-throughput NGS data, collaborating with Molecular Research, Model R&D, and Assay Development to enable assay feasibility.

Qualifications include a PhD in a related field, strong programming skills (Python, R), and experience with NGS workflows.

Qualifications

• PhD required in computational biology, cancer biology, statistics, bioinformatics, or related quantitative field.
• Experience in NGS assay and pipeline development with high-throughput data processing.
• Strong quantitative reasoning and data analysis skills.
• Strong programming skills in Python (NumPy, Matplotlib, Pandas) or R.
• Excellent oral and written communication skills for scientific and broader audiences.
• Ability to work on a cross-functional team with computational and experimental scientists.

Responsibilities

• Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection, serving as a thought leader on the Computational Science team.
• Suggest research hypotheses and plan, scope, and execute studies in partnership with a multidisciplinary team.
• Develop bioinformatics pipelines to enable high-throughput NGS data processing and analysis.
• Collaborate with wet-lab scientists to characterize and iterate on experimental methods with real-time assessments of assay performance.
• Remain at the forefront of molecular techniques and contribute to next-generation assays for early cancer detection.

Skills

Python

NGS data analysis

Bioinformatics

Statistics

Communication

Education

PhD in computational biology or related field

Tools

R

Bioinformatics pipelines

Job description

Freenome seeks a Computational Biologist to advance the CBAR team and develop early cancer detection tests using cfDNA as biomarkers. You will lead analysis, design studies, and build pipelines for high-throughput NGS data, collaborating with Molecular Research, Model R&D, and Assay Development to enable assay feasibility.

Qualifications include a PhD in a related field, strong programming skills (Python, R), and experience with NGS workflows.