Senior Developer Relations Lead, AI-Enabled Drug Discovery Science

NVIDIA
Santa Clara
Workplace: OnsiteFull timeUSD 224,000 - 431,250 annuallyFunction: Software EngineeringExperience: 12+ yearsEducation: phdSkills: ["Leadership","Cross-team collaboration","Technical decision-making","Science validity review","Governance and risk tracking"]

Coordinate AI-enabled drug discovery science across research priorities and program execution, translating therapeutic objectives into executable plans. Lead workstreams covering data curation and analysis, machine learning, automation, and platform engineering, and help design assay/readout strategies for efficacy, safety, and translatability. Establish closed-loop learning from AI hypotheses through automated experiments, model updates, and science decisions, with governance, quality thresholds, and validity reviews.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior Developer Relations Lead, AI-Enabled Drug Discovery Science

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Last checked: 7 hours agoStatus: Live

Job Summary

Coordinate AI-enabled drug discovery science across research priorities and program execution, translating therapeutic objectives into executable plans. Lead workstreams covering data curation and analysis, machine learning, automation, and platform engineering, and help design assay/readout strategies for efficacy, safety, and translatability. Establish closed-loop learning from AI hypotheses through automated experiments, model updates, and science decisions, with governance, quality thresholds, and validity reviews.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Coordinate the operating plan across research priorities, execution, and program achievements.
  • •Convert scientific therapeutic objectives into executable plans and lead related workstreams across data curation/analysis, machine learning, automation, and platform engineering.
  • •Collaborate on assay and readout strategies so efficacy, selectivity, adaptability, translatability, and safety data are AI prepared.
  • •Guide closed-loop learning from AI-generated hypotheses through automated experiments, multiplexed readouts, model updates, and science decisions.
  • •Establish science-stream governance with reviews, decision logs, risk/dependency tracking, quality thresholds, and paths for addressing blocking issues.

Pay and Benefits

Salary: USD 224,000 - 431,250 annually
Equity and Bonus:Equity

Key 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 and platform biology.
  • •Deep understanding of therapeutic development and translational biology, including target identification, efficacy/selectivity tradeoffs, safety considerations, and data quality.
  • •Experience leading large interdisciplinary teams combining experimental science, computational modeling, automation, assay development, data analysis, data platforms, and external partners.
  • •Proficiency with high-content and high-throughput data generation and assay quality control, including model validation and label/experimental composition definition.
Experience:12+ yearsLife sciencesTherapeutic discoveryDrug discoveryComputational biologyComputational modelingAutomationTranslational biology
Education:PhD / Doctorate
Skills:LeadershipCross-team collaborationTechnical decision-makingScience validity reviewGovernance and risk tracking
Tech Stack:Machine learningAutomationPlatform engineeringClosed-loop learningHigh-throughput data generationData lineageFoundation modelsBioNeMo

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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