Natera is seeking to advance cutting-edge research and development within their Artificial Intelligence and Machine Learning team, focusing on molecular therapeutics and biomarker discovery.
Requirements
- Proven experience with biomedical and molecular foundation models, graph neural networks, modality fusion, representation learning, generative models, and self-supervised learning techniques.
- Highly proficient in PyTorch, Huggingface APIs, tensorboard, captum, scikit-learn, transformers.
- Experience with SQL databases (snowflake and mysql-server).
- Experience in Git, jupyter notebook, and advanced visualizations (seaborn, plotly).
- Experience with AWS, and multiple GPU-accelerated environments.
- Experience with therapeutics machine learning experience in oncology or immunology is a plus.
- Experience with medical imaging and joint modeling of cancer genomics and imaging is a plus.
Responsibilities
- Design, implement, and evaluate biomedical foundation models and large language models (LLMs), with scientific rigor for applications focused on therapeutics and prognostics.
- 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 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.
- 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.
Other
- PhD in Computer Science, Statistics, Bioinformatics, or a related quantitative field; or Master’s in the above fields with 3+ years of experience.
- 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.
