
1001 - 5000 employees
Founded 2004
🏥 Healthcare
🧬 Biotechnology
⚕️ Healthcare Insurance
Healthcare • Biotechnology • Healthcare Insurance
Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.
🔥 20 hours ago
🇺🇸 United States – Remote
💵 $163.2k - $204k / year
⏰ Full Time
🔴 Lead
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2004
🏥 Healthcare
🧬 Biotechnology
⚕️ Healthcare Insurance
Healthcare • Biotechnology • Healthcare Insurance
Natera is a global leader in cell-free DNA testing technology, specializing in non-invasive genetic testing and diagnostics. The company's innovative solutions focus on areas such as prenatal screening, cancer detection, and organ transplant monitoring. By using advanced bioinformatics and DNA analysis, Natera provides healthcare professionals and patients with critical information to make more informed medical decisions.
• Lead development of novel statistical and machine learning methods for cancer signal detection on multi-modal genomic data • Build interpretable, well-calibrated models with uncertainty estimation and reproducibility • Prototype, test, and productionize ML models using scalable infrastructure • Own key technical deliverables and help shape the team’s research roadmap • Collaborate with molecular biologists and clinical experts on experiments and validation studies • Conduct code and design reviews across projects • Translate complex results for technical and non-technical audiences • Mentor junior scientists and promote scientific excellence
• PhD in Computer Science, Mathematics, Bioinformatics, or a related quantitative field • 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 • Eagerness to teach and learn new computational methods and biology • Excellent communication skills and a collaborative approach across teams • Preferred: Familiarity with DNA methylation and other epigenomic data • Preferred: Experience with cell-free DNA and liquid biopsy samples • Preferred: Background in cancer genomics and diagnostics • Preferred: Hands-on work with multimodal foundation models applied to biological data
• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents • Free testing for employees and their immediate families • Fertility care benefits • Pregnancy and baby bonding leave • 401k benefits • Commuter benefits • Employee referral program
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