Senior Applied Research Scientist

The application of modern AI techniques to drug discovery is transforming the field. NVIDIA is building a team to invent the future of foundation models for life sciences. We are seeking a Senior Applied Research Scientist to push the frontier of large-scale foundation models that natively speak the language of cells, biology, and chemistry.

The ideal candidate has a strong background in combining modern machine learning techniques with drug discovery, genomics, proteomics, or medical chemistry. This is a hands-on role for someone with deep technical expertise and a passion for advancing the state-of-the-art.

Responsibilities

• Design and train large-scale machine learning models at the intersection of genomics, proteomics, and chemistry
• Conduct experimental design to probe the capabilities and limitations of developed foundation models
• Mentor other team members, lead research initiatives, and help craft strategic roadmaps
• Collaborate with hardware and software teams to improve NVIDIA's platforms for large-scale foundation model applications
• Engage with the broader research community through publications, presentations, and research collaborations

Requirements

• PhD (or equivalent experience) in Computer Science or Computational Biology
• 2+ years of experience in deep learning, bioinformatics, chemical engineering, structural biology, or related fields
• Track record of excellence in engineering and research
• Deep understanding of modern AI techniques, including deep learning for sequences, diffusion models, LLMs, and unsupervised learning
• Hands-on practical know-how of designing, training, and evaluating large neural networks
• Excellent software engineering and design instincts in Python, C++, or similar
• Outstanding expertise in biochemistry, drug discovery, molecular biology, chemical engineering, or related fields

You will also be eligible for equity and benefits.