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
Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field with 6-12 years of experience post-PhD
- Hands-on experience developing novel statistical / ML analysis methods applied to complex biological data
- Proven track record of innovation and technical leadership in complex method development projects
- Expertise in deep learning and multimodal foundation models
- Proficient in Python and its scientific computing ecosystem
- Scientific rigor throughout the R&D process, with eagerness to teach and learn new computational methods and biology
More about this role
Natera’s Research team is building tests that can detect many cancers from a single blood draw. We are looking for a Staff Machine Learning and Bioinformatics Scientist to help design the models at the heart of that effort. You’ll work with large-scale, multi-modal genomic datasets from clinical cohorts and partner closely with molecular biologists and clinical scientists. Your research will advance the state-of-the-art and you will drive new methods from prototype, through scalable implementation, toward clinical validation and, ultimately, to patients.
- Lead the development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data
- Build interpretable, well-calibrated models, setting the standard for uncertainty estimation and reproducibility across the group
- Prototype, test and productionize ML models using scalable infrastructure
- Own key technical deliverables within larger projects and help shape the team’s research roadmap
- Collaborate closely with molecular biologists and clinical experts on design and analysis of experiments and validation studies
- Keep raising the bar through code and design reviews across projects
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