Computational Biologist I - Multiomics & Regulated Development

Freenome; United States; Remote; USD 131,000 - 190,000; Full time

Job summary

Freenome in the United States is seeking a development scientist to plan and execute development experiments for its multiomics cancer screening tests. You will collaborate with computational, development, regulatory, and quality teams to shape a regulated development strategy.

You will design and implement experimental plans for Development, Verification, and Validation studies, ensuring rigor, traceability, and compliance while advancing Freenome's diagnostic programs.

Qualifications

• Post-graduate degree in statistics, computational biology, bioinformatics, or related quantitative field.
• Experience in experimental design and analysis of high-throughput quantitative technologies.
• Proficiency in data analysis and visualization using R, Python, or equivalent under version control.

Responsibilities

• Plan and execute development experiments for Freenome's multiomics cancer screening tests.
• Partner cross-functionally with computational, development, regulatory, and quality teams to develop a regulated development strategy.
• Develop and execute experimental design and analysis plans for Development, Verification, and Validation studies.

Skills

Statistics

Computational biology

Bioinformatics

Data analysis

R

Python

Education

Post-graduate degree in statistics, computational biology, bioinformatics

Job description

Freenome in the United States is seeking a development scientist to plan and execute development experiments for its multiomics cancer screening tests. You will collaborate with computational, development, regulatory, and quality teams to shape a regulated development strategy.

You will design and implement experimental plans for Development, Verification, and Validation studies, ensuring rigor, traceability, and compliance while advancing Freenome's diagnostic programs.