Remote Senior Machine Learning Scientist

Summary

Join Natera as a Machine Learning Scientist to contribute to cutting-edge research and development within our Artificial Intelligence and Machine Learning team, focused on molecular therapeutics and biomarker discovery.

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

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Free testing in addition to fertility care benefits
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits