Nvidia Corporation
Senior Research Scientist - Digital Biology
Nvidia Corporation, Santa Clara, California, us, 95053
For decades, NVIDIA has been at the forefront of accelerated computing, driving innovation in fields ranging from computer graphics to artificial intelligence. Today, we're leveraging this legacy to revolutionize digital biology and to accelerate drug discovery. Our cutting‑edge GPU technology serves as the computational engine for groundbreaking research, enabling scientists to model complex biological systems, analyze and harmonize massive datasets, and accelerate the drug discovery process.
We're looking for a Senior Research Scientist who shares our vision for transforming healthcare. This is a unique opportunity to apply your expertise in a fast‑paced, collaborative environment where you'll be instrumental in developing the tools that will redefine what is possible in drug discovery, virtual cell, and beyond. As part of our team, you'll work alongside other researchers, developers, and experts in the field to tackle some of the most challenging and impactful problems of our time.
What you'll be doing:
Developing, implementing, benchmarking, and accelerating multimodal models in digital biology, drug discovery, virtual cell, and virtual patient.
Developing large‑scale training and inference methods for foundation models in the field.
Publishing original research and releasing open‑source software.
Collaborating with external research leaders in digital biology.
Collaborating with research and engineering teams across all of NVIDIA to transfer research to products and services.
Mentoring emerging researchers.
What we need to see:
Advanced degree in a quantitative field such as Computational Biology, Computer Science, Computational Chemistry, Physics, Mathematics, or equivalent experience.
5+ years of relevant experience with hands‑on training and evaluation of models in digital biology.
Publication record in the computational biology domain.
Excellent skills in working with large‑scale machine learning/AI systems and compute infrastructure.
Proficiency in modern machine learning frameworks such as PyTorch, TensorFlow, JAX, Warp.
Ability to learn from and teach others to keep up to speed on the latest developments and tools in the field.
Ability to work together in a tight‑knit team environment.
Ways to stand out from the crowd:
Experience developing novel methods in machine learning.
Strong engineering skills.
Background in open‑source development.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry’s most desirable employers.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD – 258,750 USD for Level 3, and 184,000 USD – 299,000 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 4, 2025.
NVIDIA is an equal‑opportunity employer and values diversity at our company. We welcome applicants from all backgrounds and identities and strongly encourage people from historically underrepresented groups to apply. NVIDIA is proud to be an equal‑opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic.
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We're looking for a Senior Research Scientist who shares our vision for transforming healthcare. This is a unique opportunity to apply your expertise in a fast‑paced, collaborative environment where you'll be instrumental in developing the tools that will redefine what is possible in drug discovery, virtual cell, and beyond. As part of our team, you'll work alongside other researchers, developers, and experts in the field to tackle some of the most challenging and impactful problems of our time.
What you'll be doing:
Developing, implementing, benchmarking, and accelerating multimodal models in digital biology, drug discovery, virtual cell, and virtual patient.
Developing large‑scale training and inference methods for foundation models in the field.
Publishing original research and releasing open‑source software.
Collaborating with external research leaders in digital biology.
Collaborating with research and engineering teams across all of NVIDIA to transfer research to products and services.
Mentoring emerging researchers.
What we need to see:
Advanced degree in a quantitative field such as Computational Biology, Computer Science, Computational Chemistry, Physics, Mathematics, or equivalent experience.
5+ years of relevant experience with hands‑on training and evaluation of models in digital biology.
Publication record in the computational biology domain.
Excellent skills in working with large‑scale machine learning/AI systems and compute infrastructure.
Proficiency in modern machine learning frameworks such as PyTorch, TensorFlow, JAX, Warp.
Ability to learn from and teach others to keep up to speed on the latest developments and tools in the field.
Ability to work together in a tight‑knit team environment.
Ways to stand out from the crowd:
Experience developing novel methods in machine learning.
Strong engineering skills.
Background in open‑source development.
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry’s most desirable employers.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 160,000 USD – 258,750 USD for Level 3, and 184,000 USD – 299,000 USD for Level 4. You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 4, 2025.
NVIDIA is an equal‑opportunity employer and values diversity at our company. We welcome applicants from all backgrounds and identities and strongly encourage people from historically underrepresented groups to apply. NVIDIA is proud to be an equal‑opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic.
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