Nvidia Senior Research Scientist - Digital Biology 

United States, Texas 

20872722

What you'll be doing:

• Addressing challenges around data readiness for large-scale training in the digital biology domain

• Developing accelerated data preprocessing tools to enable large-scale training

• Collaborating with external research leaders in the field of digital biology, leading efforts around dataset generation and evaluation

• Publishing original research and releasing open source software

• 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 data preprocessing, training, and benchmarking models in digital biology

• Track record of published work within the field of digital biology

• Proficient 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:

• Extensive experience developing, implementing, benchmarking and accelerating the latest models in the field of digital biology, drug discovery, virtual cell, and virtual patient

• Strong engineering skills, particularly experience with C/C++, CUDA

• Contribution to open source software projects