✦ Luna Orbit — AI & Machine Learning

Senior Director of Strategic Partnerships, TuneLab Platform

at Eli Lilly

📍 US, San Francisco CA Unknown 💰 $187K – $275K USD / year Posted March 13, 2026
Salary $187K – $275K USD / year
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

Lead strategic partnerships to support Lilly TuneLab’s AI/ML platform, fostering collaborations across biotech, pharma, and AI sectors to accelerate drug discovery innovations.

  • Develop partnership strategy
  • Evaluate AI/ML opportunities
  • Engage with biotech and tech companies
  • Support AI/ML model development
  • Drive business growth

Focus on AI/ML models, federated learning, in silico modelling, and biotech partnerships to drive innovation in drug discovery.

The ideal candidate is a senior professional with extensive experience in AI/ML, strategic partnerships, and biotech or pharmaceutical industries. They excel at building collaborations across tech and biotech sectors to advance drug discovery platforms.

AI/MLpartnership strategybusiness developmentAI/ML modelsdrug discovery
federated learningbiotechpharmaceuticalAI/ML startupsenterprise AI
AI/ML platformsfederated learning frameworksdrug discovery models
AIArtificial IntelligenceMLMachine Learningfederated learningdrug discovery modelspartnership strategybiotechpharmaceuticalstakeholder management
AIArtificial IntelligenceMLMachine LearningAI/ML modelsAI/MLfederated learningdrug discovery modelsin silico modelling
strategic thinkingpartnership developmentcollaborationstakeholder managementbusiness development
Industry Healthcare & Medical
Job Function Strategic partnership development in AI/ML for biotech
Senior DirectorStrategic PartnershipsAIArtificial IntelligenceMLMachine LearningAI/ML modelsfederated learningdrug discoverybiotechpharmaceuticalpartnership strategybusiness developmentcollaborationstakeholder managementdrug discovery models

Lack of experience in AI/ML or biotech partnerships, No senior leadership experience, Unfamiliar with federated learning or drug discovery models

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