Senior Developer Relations Lead, AI-Enabled Drug Discovery Science

Job Requisition ID: JR2025378 | Category: Sales

About the role

NVIDIA seeks an AI enabled drug discovery science leader who can coordinate science streams. The role exists where RNA therapeutics, experimental data generation, computer-based modeling, mechanization, and translational science converge. It requires a hands-on researcher with prior experience who can guide science teams, make well-considered technical tradeoffs, and keep experimental, data, model, and compute activities coordinated.

Responsibilities

• Coordinate the operating plan across research priorities, execution, and program achievements.
• Convert scientific therapeutic objectives into executable plans.
• Lead NVIDIA workstreams spanning data curation & analysis, machine learning, automation, and platform engineering across scales of biology.
• Collaborate on assay and readout strategies so efficacy, selectivity, adaptability, translatability, and safety data are AI prepared.
• Guide closed-loop learning across AI-generated hypotheses, automated experiments, multiplexed readouts, model updates, and science decisions.
• Review science validity for key biology applications.
• Establish science-stream governance: build reviews, decision logs, risk and dependency tracking, quality thresholds, and paths for addressing blocking issues.
• Accounting of workstream through readouts for program leadership, including scientific progress, critical decisions, cross-team dependencies, resource needs, and unresolved risks.

Requirements

• PhD experience in research within life sciences, therapeutic discovery, chemical biology, molecular pharmacology, computational biology, bioengineering, or a related field, or equivalent experience.
• 12+ years of research or drug-discovery experience in therapeutic discovery, platform biology.
• Deep understanding of therapeutic development and translational biology, including