✦ Luna Orbit — Science & Research

Advisor - Scientific Machine Learning Scientist - Drug Delivery Device Development

at Eli Lilly

📍 US, Indianapolis IN Hybrid 💰 $126K – $204K USD / year Posted March 13, 2026
Salary $126K – $204K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Science & Research

This role involves developing advanced machine learning models to support drug delivery device innovation, combining physics-based approaches with AI to optimize formulations and understand device behaviors.

  • Develop physics-informed neural networks
  • Advance predictive modeling
  • Collaborate on device development
  • Integrate AI into R&D processes
  • Optimize drug delivery formulations

Environment includes scientific machine learning, neural networks, multi-scale modeling, and AI tools applied to pharmaceutical device research and development.

The ideal candidate is a research scientist with expertise in physics-informed machine learning and multi-scale modeling, experienced in drug delivery device development. They should have a strong background in AI and scientific computing, with the ability to collaborate across disciplines to accelerate innovation.

scientific machine learningphysics-informed neural networksmodel developmentcross-functional collaboration
AImulti-physics modelingpredictive modelingdevice innovationformulation optimization
machine learningneural networksmulti-scale modelingAI
scientific machine learningSciMLAIphysics-informed neural networksmulti-scale modelingdrug deliverydevice developmentmolecular interactionsmaterial behaviorpredictive modeling
scientific machine learningSciMLAIphysics-informed neural networksmulti-scale modelingdrug delivery systemsdevice developmentmolecular interactionsmaterial behavior
communicationcollaborationproblem-solvinginnovationcritical thinking
Industry Pharmaceuticals, Healthcare, Medical Devices
Job Function Develop and apply scientific machine learning models for drug delivery device innovation
scientific machine learningSciMLAIphysics-informed neural networksmulti-scale modelingdrug deliverydevice developmentmolecular interactionsmaterial behaviorpredictive modelingcross-functional collaborationmodel developmentmulti-physics modeling

Lack of experience in scientific machine learning, No background in device or drug delivery research, Inability to collaborate across disciplines, No experience with neural networks or AI

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