Senior Developer Relations Lead, AI-Enabled Drug Discovery Science

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.
• What we need to see
• PhD experience in research within life sciences, therapeutic discovery, chemical biology, molecular pharmacology, computational biology, bioengineering, or a related field, or equivalent experience.

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