Senior Research Scientist - Digital Biology

NVIDIA•Us, CA

13d

About The Position

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 AI 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.

Requirements

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 ML, data science, and/or digital biology domain
Proficient in modern machine learning frameworks such as PyTorch, TensorFlow, JAX, Warp
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.

Nice To Haves

Experience developing novel methods in machine learning
Strong engineering skills, particularly experience with C/C++, CUDA
Portfolio of data science projects
Contribution to open source software projects

Responsibilities

Developing, implementing, benchmarking and accelerating the latest models to address challenges in the field of digital biology, drug discovery, virtual cell, and virtual patient
Benchmarking, evaluating, and showcasing the capabilities of our research output to move the needle in digital biology
Developing training and inference techniques for foundational models within the industry, harnessing the power of NVIDIA’s most recent hardware
Publishing original research and releasing open source software
Collaborating with external research leaders in the field of digital biology
Collaborating with research and engineering teams across all of NVIDIA to transfer research to products and services.
Mentoring emerging researchers