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Senior Developer Relations Lead, AI-Enabled Drug Discovery Science

NVIDIA· Account Mgr, Dev Relations
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Santa Clara, CA$224k - $356.5kfull-timePosted 4w ago

About the role

AI-enabled drug discovery science leader coordinating science streams at NVIDIA, bridging RNA therapeutics, experimental data generation, modeling, automation, and platform engineering to drive translational science.

Responsibilities

  • Coordinate the operating plan across research priorities, execution, and program achievements.
  • Convert scientific therapeutic objectives into executable plans.
  • Lead workstreams spanning data curation & analysis, machine learning, automation, and platform engineering across biology scales.
  • 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: reviews, decision logs, risk and dependency tracking, quality thresholds, and issue resolution paths.
  • Account for workstream progress through readouts for program leadership: scientific progress, critical decisions, cross-team dependencies, resource needs, unresolved risks.

Qualifications

  • PhD experience in life sciences, therapeutic discovery, chemical biology, molecular pharmacology, computational biology, bioengineering, or 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 target identification, experimental context, efficacy/selectivity tradeoffs, safety considerations, and data quality.
  • Experience leading large interdisciplinary teams spanning experimental science, computational modeling, automation, assay development, data analysis, data platforms, and external partners.
  • Proven track record leading in matrixed environments with shared scientific direction and execution accountability.
  • Proficiency with high-content and high-throughput data generation across molecular, cellular, and functional readouts, QC, label definition, experimental composition, and model validation.
  • Ability to collaborate with AI and infrastructure teams on model requirements, feature stores, data lineage, compute planning, evaluation metrics, and closed-loop experimentation.

Skills

Required:PhD-level life sciences or related fieldTherapeutic discovery / platform biologyLeadership of interdisciplinary teams

Benefits

  • equity
  • benefits (see NVIDIA website)
Last updated Sep 25, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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