Manager, Drug Discovery AI

at  NVIDIA

NVIDIA is using the power of high performance computing and AI to accelerate digital biology. We are seeking passionate and hardworking individuals to help us realize our mission. As a Manager, you will lead a team focused on deep learning development for cheminformatics, virtual screening, and protein modeling. This position provides the opportunity to develop, productize, and deliver drug discovery AI technologies across Nvidia’s BioNeMo platform.

What You’ll Be Doing:

• Define the roadmap for the future internal and public releases of the BioNeMo projects: define deliveries and work packages, help synchronize the dependencies across the other teams, formulate benchmarks and key performance indicators.
• Drive the technical choices to build the new features of the drug discovery AI technology stack: leverage existing deep learning technologies, provide feedback on performance and compute requirements, design new integrated deep learning models adapted to the problems of drug discovery.
• Mentor and supervise a team of experts in deep learning applications in small molecule generation, protein sequence and structure models
• Collaborate with multiple other teams, including Drug Discovery AI teams, AI infrastructure teams, product management, and Nvidia Research.
• Help bring up end-to-end drug discovery AI solutions based on the Nvidia BioNeMo platform.

What We Need To See:

• Excellent interpersonal and 5+ years of leadership experience.
• PhD in Computer Science, Computational Chemistry, Computational Biology, or relevant field for Drug Discovery AI, or equivalent experience
• 10+ overall years of relevant industry experience
• Participated in designing and implementing modern deep learning algorithms in cheminformatics, virtual screening, and/or protein design
• Excellent communication, analysis and problem solving skills

Ways To Stand Out From The Crowd:

• Have significant deep learning experience, especially with LLMs, graph-based and geometric deep learning for drug discovery use cases.
• Have published in major journals or conferences in a field relevant to deep learning and drug discovery.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you’re a creative and autonomous engineer with a real passion for technology, we want to hear from you.
The base salary range is 272,000 USD - 425,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and
benefits
. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

• Define the roadmap for the future internal and public releases of the BioNeMo projects: define deliveries and work packages, help synchronize the dependencies across the other teams, formulate benchmarks and key performance indicators.
• Drive the technical choices to build the new features of the drug discovery AI technology stack: leverage existing deep learning technologies, provide feedback on performance and compute requirements, design new integrated deep learning models adapted to the problems of drug discovery.
• Mentor and supervise a team of experts in deep learning applications in small molecule generation, protein sequence and structure models
• Collaborate with multiple other teams, including Drug Discovery AI teams, AI infrastructure teams, product management, and Nvidia Research.
• Help bring up end-to-end drug discovery AI solutions based on the Nvidia BioNeMo platform