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NVIDIA

Senior Research Scientist, Digital Biology

NVIDIA

. Serving as a technical lead for the development of datasets, tasks, and evaluation frameworks for foundation models .

Posted 4/21/2026full-timeNew York City • California, New York • 🇺🇸 United StatesSenior💰 $192,000 - $304,750 per yearWebsite

Tech Stack

Tools & technologies
PyTorchTensorflow

About the role

Key responsibilities & impact
  • Serving as a technical lead for the development of datasets, tasks, and evaluation frameworks for foundation models
  • Building external collaborations and community efforts to build high-quality datasets and biologically meaningful tasks for complex problems in digital biology
  • Establishing benchmarks and evaluation criteria, and demonstrating the strengths of our research output to promote tangible progress in the field
  • Inventing novel training and inference techniques, harnessing the power of NVIDIA accelerated computing platforms
  • Publishing original research and releasing open-source software
  • Collaborating with research and engineering teams across NVIDIA to translate research into products and services
  • Mentoring emerging researchers and helping set the technical direction of the project

Requirements

What you’ll need
  • Advanced degree in a quantitative field such as Computational Chemistry, Computational Biology, Computer Science, Physics, Mathematics, or equivalent experience
  • More than 5 years of pertinent experience involving direct assessment of models in the digital biology and drug discovery field
  • Proven track record of publishing work in machine learning, data science, and/or digital biology
  • Proficient in modern machine learning frameworks such as PyTorch, TensorFlow, or JAX
  • Experience in one or more of the following: cheminformatics, computational biology, proteomics, structural biology, or another relevant field of biology or chemistry
  • Ability to absorb new information and keep others informed about the most recent advancements and tools in the field
  • Ability to work together in a tight-knit team environment

Benefits

Comp & perks
  • equity
  • benefits 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

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Hard Skills & Tools
machine learningdata scienceNVIDIA accelerated computingPyTorchTensorFlowJAXcheminformaticscomputational biologyproteomicsstructural biology
Soft Skills
mentoringcollaborationcommunicationteamworkinformation absorption
Certifications
advanced degree in quantitative field