AI-Driven Therapeutic Discovery Lead

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 431,000; Full time

Job summary

NVIDIA seeks an AI-enabled drug discovery science leader who can coordinate science streams across RNA therapeutics, experimental data, computational modeling, and translational science. This role requires a hands-on researcher who can guide teams, balance technical tradeoffs, and ensure coordinated experiments, data, models, and compute activities.

You will oversee plans across research priorities, convert objectives into executable plans, and lead workstreams spanning data, ML, automation, and

Qualifications

• PhD in life sciences or related field, or equivalent experience.
• 12+ years in research or drug discovery.
• Deep understanding of translational biology and therapeutic development.
• Experience leading large interdisciplinary teams across biology, data, and AI partners.
• Experience with high-content/high-throughput data generation and model validation.

Responsibilities

• Coordinate the operating plan across research priorities and program milestones.
• Translate therapeutic objectives into executable research plans.
• Lead data curation, ML, automation, and platform engineering efforts.
• Collaborate on assay strategies ensuring AI-ready efficacy and safety data.
• Establish governance with reviews, logs, risk tracking, and issue resolution.

Skills

Leadership

Strategy & planning

Cross-functional collaboration

Data analysis

Project governance

Education

PhD in life sciences or related field

Job description

NVIDIA seeks an AI-enabled drug discovery science leader who can coordinate science streams across RNA therapeutics, experimental data, computational modeling, and translational science. This role requires a hands-on researcher who can guide teams, balance technical tradeoffs, and ensure coordinated experiments, data, models, and compute activities.

You will oversee plans across research priorities, convert objectives into executable plans, and lead workstreams spanning data, ML, automation, and