Dedicated to oncology, women’s health, and organ health. Natera’s cell-free DNA tests help protect health and inform more personalized decisions about care. Backed by Lightspeed and Sequoia.
About the role
The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD in Bioinformatics, Computer Science, Statistics, or a related quantitative field
- 10+ years of post-PhD experience in industry or academic research, including 5+ years of direct people management leading technical teams of 5 or more scientists
- Demonstrated track record of developing and deploying machine learning and statistical models on high-throughput sequencing data
- Deep understanding of next-generation sequencing (NGS) data and large-scale genomic datasets, including sources of technical bias and batch effects
- Strong communication skills, with experience influencing scientific direction at a senior level
More about this role
Natera's mission is to change the management of disease worldwide by using information from a simple blood draw to detect disease early and proactively inform treatment. We are seeking a Director of Bioinformatics and Machine Learning to lead technology and biomarker research for our cancer early detection programs. This leader will head a team of bioinformatics and machine learning scientists developing the foundation of our next generation of cell-free DNA (cfDNA) assays across multi-cancer early detection (MCED), tissue-free molecular residual disease (tfMRD), and single-cancer screening.
The ideal candidate is a hands-on scientific leader who sets technical direction and stays close to the work by challenging analyses, reviewing models, and prototyping when needed. They combine deep expertise in bioinformatics and machine learning with experience translating research into clinical diagnostics.
- Define and execute research roadmaps for cancer early detection in partnership with Research, Product, Clinical, and Assay Development stakeholders.
- Lead, hire, and develop a team of machine learning and bioinformatics scientists, building a culture of scientific rigor, innovation,...
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