Leading device development strategies for drug - device combination products. Collaborating with cross - functional teams from concept to launch while ensuring regulatory compliance.
About the role
- 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
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 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.
Benefits
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
- bonuses
- stock options
- equipment allowances
- wellness programs
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