The opportunity
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.
What you'll do
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, and ownership.
Own the computational design of research studies, including cohort selection,: confounder control, and validation strategies that prevent overfitting and data leakage.
Partner with molecular biology teams to design experiments that generate data: capable of answering the key scientific and clinical questions.
Serve as the computational subject matter expert for leadership and: cross-functional partners, communicating tradeoffs, risks, and recommendations clearly to technical and non-technical audiences.
Advance Natera's scientific leadership through publications, conference: presentations, and intellectual property.
What they're looking for
- PhD in Bioinformatics, Computer Science, Statistics, or a related quantitative field.
- + 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.
