Senior AI-Driven Drug Discovery Lead

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA seeks an AI-enabled drug discovery science leader in Santa Clara to coordinate science streams across RNA therapeutics, experimental data generation, computational modeling, and translational science. You will guide science teams, balance technical tradeoffs, and keep experimental, data, model, and compute activities aligned.

The role requires PhD or equivalent, 12+ years in therapeutic discovery, and proven leadership of interdisciplinary teams bridging biology, computation, and

Qualifications

• PhD or equivalent experience in life sciences, computational biology, or related field.
• 12+ years of research or drug-discovery experience in therapeutic discovery, platform biology.
• Deep understanding of therapeutic development and translational biology, including target identification, efficacy/selectivity tradeoffs, and safety considerations.

Responsibilities

• Coordinate the operating plan across research priorities, execution, and program achievements.
• Convert scientific objectives into executable plans.
• Lead workstreams spanning data curation, machine learning, automation, and platform engineering across biology scales.
• Collaborate on assay and readout strategies to ensure AI readiness of efficacy data.
• Guide closed-loop learning across AI hypotheses, automated experiments, and model updates.
• Review science validity for key biology applications.

Skills

Leadership

Cross-disciplinary teamwork

AI/ML collaboration

High-content screening

Data-driven decision making

Education

PhD in Life Sciences/Computational Biology

Tools

BioNeMo

GPU-accelerated compute

Job description

NVIDIA seeks an AI-enabled drug discovery science leader in Santa Clara to coordinate science streams across RNA therapeutics, experimental data generation, computational modeling, and translational science. You will guide science teams, balance technical tradeoffs, and keep experimental, data, model, and compute activities aligned.

The role requires PhD or equivalent, 12+ years in therapeutic discovery, and proven leadership of interdisciplinary teams bridging biology, computation, and