Senior Applied Research Scientist, Multimodal Foundation Models – Healthcare
$184k - $357k • Remote • US, CA, Santa Clara
Posted 1mo ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Research Engineer
About the job
NVIDIA is seeking researchers to advance longitudinal multimodal foundation models for healthcare. This role will focus on models that learn from diverse longitudinal data, including medical imaging, electronic health records, genomics, and more, to support applications like disease progression modeling and precision medicine. You will join an applied research team developing medical AI algorithms, foundation models, and datasets, combining publication-quality research with practical implementation and open-source contributions. Collaboration with researchers, engineers, and healthcare organizations will be key to translating research into impactful healthcare AI solutions.
Responsibilities
- Conduct research on longitudinal multimodal foundation models using heterogeneous healthcare data.
- Develop novel foundation model architectures and training strategies for temporal reasoning and multimodal generation.
- Build large-scale datasets, benchmarks, and open-source foundation models for healthcare AI.
- Collaborate with internal NVIDIA teams on multimodal biological foundation models.
- Partner with external healthcare institutions and companies to translate research into healthcare AI solutions.
- Publish research, contribute to open-source software and models, and influence the future of healthcare foundation models.
Requirements
- PhD in a quantitative field (e.g., Computer Science, Machine Learning) or equivalent experience.
- 8+ years of relevant industry experience in medical AI research.
- Research experience developing multimodal foundation models integrating longitudinal clinical or biological data.
- Experience developing and training large-scale foundation models using deep learning frameworks like PyTorch.
- Experience using AI coding assistants and agentic AI workflows.
- Strong software engineering and experimental skills for building scalable research pipelines.
- Excellent communication and collaboration skills across multidisciplinary teams.
Benefits
- Competitive salaries
- Generous benefits package
- Equity