Nvidia Senior Research Scientist - Digital Biology 

United States, Texas 

271926528

What you'll be doing:

• Developing, implementing, benchmarking, and accelerating multimodal models in the field of 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 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

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