Senior Applied Research Scientist, Multimodal Foundation Models – Healthcare

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 184,000 - 356,500 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: phdSkills: ["Communication","Collaboration"]

Develop longitudinal multimodal foundation models for healthcare by researching temporal reasoning and disease progression from heterogeneous data such as medical imaging, EHRs, lab measurements, genomics, medications, and clinical outcomes. Build and train foundation model architectures and scalable datasets/benchmarks, collaborate across NVIDIA teams and external healthcare partners, publish in leading venues, and help translate successful research into production-ready models, software, and workflows.

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NVIDIA
NVIDIA
5 days ago

Senior Applied Research Scientist, Multimodal Foundation Models – Healthcare

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 27 minutes agoStatus: Closed

Job Summary

Develop longitudinal multimodal foundation models for healthcare by researching temporal reasoning and disease progression from heterogeneous data such as medical imaging, EHRs, lab measurements, genomics, medications, and clinical outcomes. Build and train foundation model architectures and scalable datasets/benchmarks, collaborate across NVIDIA teams and external healthcare partners, publish in leading venues, and help translate successful research into production-ready models, software, and workflows.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Conduct research on longitudinal multimodal foundation models using medical imaging, EHR, laboratory measurements, genomics, medications, diagnoses, and clinical outcomes.
  • •Develop novel foundation model architectures and training strategies for disease progression modeling, treatment response prediction, temporal reasoning, and multimodal generative modeling.
  • •Build large-scale datasets, benchmarks, and open-source foundation models to advance healthcare AI.
  • •Collaborate with researchers across NVIDIA teams (e.g., Healthcare AI, BioNeMo) to develop multimodal biological foundation models spanning imaging and molecular data.
  • •Partner with healthcare institutions and industry collaborators to translate research into impactful healthcare AI solutions, including publishing and open-source contributions.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually
Perks:Equity

Key Requirements

  • •PhD in Computer Science, Machine Learning, Biomedical Engineering, Computational Biology, Electrical Engineering, or a related quantitative field (or equivalent experience).
  • •8+ years of relevant industry experience focusing on medical AI research.
  • •Experience developing multimodal foundation models integrating heterogeneous clinical/biological data with emphasis on longitudinal modeling, temporal reasoning, or disease progression prediction.
  • •Experience developing and training large-scale foundation models using modern deep learning frameworks such as PyTorch.
  • •Strong software engineering and experimental skills to build scalable, reproducible research pipelines.
Experience:8+ yearsMedical AIHealthcareFoundation modelsMultimodal ML
Education:PhD / Doctorate
Skills:CommunicationCollaboration
Tech Stack:PyTorchCUDACuDNNTensorRT

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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