Senior Research Scientist, Digital Biology at NVIDIA

**Who this is for** This role is for expert researchers in digital biology or computational chemistry who want to apply deep learning and accelerated computing

Work type: remote

Location: US, NY, New York | US, CA, Santa Clara | US, MA, Remote

Salary: $192,000 – $304,750/yr

Type: Full-time

Summary

**Who this is for** This role is for expert researchers in digital biology or computational chemistry who want to apply deep learning and accelerated computing to solve massive challenges in drug discovery and structural biology. **Key highlights** You will lead the development of foundation models and evaluation benchmarks for biological data, collaborating with interdisciplinary teams to translate innovative research into high-impact open-source tools and products. **You might be a good fit if you...** - Hold an advanced degree and have 5+ years of experience in model assessment within digital biology. - Are highly proficient in modern machine learning frameworks like PyTorch, TensorFlow, or JAX. - Have a strong track record of publishing original research in machine learning or relevant scientific fields. - Have experience with chemical or biological datasets, such as proteomics, structural biology, or cheminformatics.

Job Description

We seek a Senior Research Scientist aligned with our goal to transform the life sciences. This role offers a chance to apply your skills in a dynamic, cooperative setting. You will play a key role in creating tools that change the landscape of drug discovery, virtual cell, and more. Joining our team means collaborating with fellow researchers, developers, and specialists to address some of today's most challenging and meaningful issues.

What you will be doing:

• 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

• 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

• Comprehensive understanding of the drug discovery field

• Experience formulating original strategies in machine learning

• Experience with multimodal biological or chemical foundation models

• Experience defining benchmarks, evaluation frameworks, or shared standards for scientific ML

• Track record of research impact through publications, open-source software, patents, or transferred technology

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 192,000 USD - 304,750 USD.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 24, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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