Remote Bioinformatics Manager - Oncology Diagnostics

Bazeta; United States; À distance; USD 140 000 - 175 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

401k matching

Fertility benefits

Résumé du poste

Natera is seeking a Bioinformatics Manager to lead a team of bioinformaticians and data scientists focused on Oncology Product Development, overseeing ctDNA-based diagnostic tests from design through validation and launch.

The role requires collaboration with biostatistics, molecular biology, software engineering and commercial teams, emphasizing algorithm development, data analysis, and rigorous documentation.

Qualifications

• Master’s degree or Ph.D. in a quantitative discipline (bioinformatics, engineering, applied mathematics, statistics, or similar).
• Minimum of 4–8 years of post-graduate experience in a data science and/or bioinformatics role and 1–3 years of experience as technical lead in diagnostics or related field.
• Experience moving algorithm-based products through commercialization and launch in medical/biological applications such as diagnostics or biotech.

Responsabilités

• Provide technical leadership for product development projects by representing the bioinformatics team in cross-functional interactions and moving products through development, validation and launch.
• Lead efforts to optimize workflows, improve tools and analysis pipelines for diagnostic tests, including cancer-variant detection and QC thresholds.
• Supervise bioinformatics scientists and data scientists, prioritizing resources and guiding professional development.

Connaissances

Python

R

Statistical Modeling

Machine Learning

NGS pipelines

Formation

Master’s or PhD in quantitative discipline

Outils

Bonus: None

Description du poste

Natera is seeking a Bioinformatics Manager to lead a team of bioinformaticians and data scientists focused on Oncology Product Development, overseeing ctDNA-based diagnostic tests from design through validation and launch.

The role requires collaboration with biostatistics, molecular biology, software engineering and commercial teams, emphasizing algorithm development, data analysis, and rigorous documentation.