Senior Machine Learning Scientist

Summary

Join Natera's Artificial Intelligence and Machine Learning team as a Machine Learning Scientist. You will design, implement, and evaluate deep learning models for applications in therapeutics, prognostics, and diagnostics. This role requires expertise in deep learning, biomolecular foundation models, and experience with various data modalities. You will collaborate with researchers and medical professionals, communicate results effectively, and stay current with advancements in AI/ML and biomedical literature. The position offers a competitive salary and benefits package. Natera is a global leader in cell-free DNA testing, committed to creating a diverse and inclusive workplace.

Requirements

• PhD in Computer Science, Statistics, Bioinformatics, or a related quantitative field
• Proven experience with deep sequence models, biomolecular foundation models, graph neural networks, modality fusion, representation learning, generative models, and self-supervised learning techniques; and a demonstrated track record of machine learning applications to genomics, proteomics, and/or multi-omics big data
• Highly proficient in PyTorch, lightning, tensorboard, captum, scikit-learn, transformers, and Huggingface APIs
• Experience with SQL databases (snowflake and mysql-server)
• Experience in Git, jupyter notebook, and advanced visualizations (seaborn, plotly)
• Experience with AWS, single and multiple GPU-accelerated environments
• Ability to clearly summarize and communicate results in oral and written form
• High scientific rigor and eagerness to teach and learn about new machine learning methods and biology

Responsibilities

• Design, implement, and evaluate deep learning models, such as deep sequence and biomedical foundation models, with scientific rigor for applications in therapeutics, prognostics, and diagnostics
• Independently explore and stay current with the latest advancements in AI/ML and biomedical literature, applying cutting-edge AI/ML approaches to solve complex problems in molecular diagnostics and therapeutics
• Interpret machine learning models by explainable AI methods (e.g. GradCAM, Shap) on diverse data modalities, such as genomics, transcriptomics and imaging, generating insights to enhance model transparency and trust
• Document code and model by maintaining well-structured, readable, and reproducible workflows. Use version control systems (e.g. Git) and reproducible demos (e.g. Jupyter notebooks) to ensure consistency across projects
• Communicate scientific results effectively through internal meetings, external conferences, and peer-reviewed publications, translating complex technical concepts for both technical and non-technical audiences
• Collaborate with domain experts such as medical professionals, bioinformaticians, and statisticians to guide and refine R&D efforts in AI-driven medical diagnostics and therapeutics

Preferred Qualifications

• Experience with oncology or immunology is a plus
• Experience with medical imaging and joint modeling of cancer genomics and imaging is a plus

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Natera employees and their immediate families receive free testing in addition to fertility care benefits
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits
• A generous employee referral program