Staff AI Scientist, Foundation Models

What you'll do

• Design, train, validate, and advance foundation models across clinical and molecular modalities.
• Develop downstream models for applications such as prognosis, treatment outcome prediction, patient stratification, and biomarker discovery.
• Provide technical and scientific leadership, publish research, and collaborate on product quality, validation, and regulatory alignment.

What they ask for

• Ph.D. in Computer Science or a related quantitative field.
• 3+ years of industry experience developing machine learning models end to end, from research through production deployment.
• Expertise in large-scale deep learning and foundation model development; a strong track record of original, high-impact peer-reviewed research.
• Proficiency in Python and the modern deep learning stack, with strong product-level coding skills and knowledge of software engineering practices.

Nice to have

• Experience with computer vision, NLP, pathology, longitudinal EHR, genomics, or other biomedical modalities.
• Publications in medical or healthcare AI and prior experience developing foundation models.

Pay

$220,000 - $260,000 USD base salary

Tools

Python, Pytorch

AI focus

Foundation-model research and development for precision medicine, including multimodal learning, pretraining, representation learning, self-supervised learning, model scaling, and post-training.