Lead Bioinformatics & Machine Learning Scientist (Epigenomics)
Natera · San Carlos, CA
About this role
Natera is seeking a **Lead Bioinformatics & Machine Learning Scientist** to contribute to research and development within our **Bioinformatics Research and Development** team, focused on **Epigenomics in Oncology**. The team develops machine learning methods for **early cancer detection** from **cell-free DNA (cfDNA) methylation** data. You’ll help develop and expand state-of-the-art machine learning methods and provide technical leadership and mentorship in a highly collaborative environment. **Primary Responsibilities** - Drive technical workstreams from problem definition through delivery of final classifiers to downstream validation teams - Design, implement, and validate novel machine learning and statistical methods for cancer diagnostics - Establish best practices in model interpretability, uncertainty estimation, and reproducibility - Design robust feature engineering and extraction pipelines for cfDNA methylation and sequencing data - Collaborate with molecular biologists on experimental design, ensuring data integrity and quality control - Mentor scientists and foster a culture of innovation, collaboration, and scientific excellence - Lead and participate in code and design reviews **Qualifications** - PhD in Bioinformatics, Computer Science, Machine Learning, Statistics, or a related quantitative field; **4–8+ years post-PhD** experience - Hands-on experience in cancer genomics or epigenomics (cfDNA and/or methylation sequencing experience is a plus) - Strong foundation in quantitative reasoning, statistical analysis, and applied machine learning (deep learning frameworks are a plus)
Listing freshness
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