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Post Doctoral Scientist: Computational Modeling

Eli Lilly and Company

Salary not specified
Sep 19, 2025
Indianapolis, IN, US
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Eli Lilly and Company is seeking a postdoctoral researcher with computational modeling expertise and a background in injection physiology to advance research in injection physiology for various routes of drug delivery and develop state-of-the-art drug delivery systems and devices.

Requirements

  • Expert in continuum mechanics, thermodynamics, modeling and simulation methods (FEA/CFD), theory and application
  • Fundamental knowledge of drug delivery
  • Prior experience in modeling and simulation of drug delivery and absorption
  • Proficiency in using computational modeling and simulation tools and software such as ANSYS, SolidWorks, AutoCAD, MATLAB, or similar
  • Experience with Multiphysics modeling and simulation
  • Experienced in scripting (e.g., Python) and automating tasks
  • Fundamental understanding of medical devices.

Responsibilities

  • Apply resourceful and innovative thinking to develop and validate computer simulation-based approaches to problems related to various drug delivery modalities.
  • Demonstrate ability to utilize computational modeling to address impactful questions relating to various drug delivery modalities.
  • Leverage a strong theoretical and technical background in bio transport, continuum mechanics, FEA/CFD modeling, and simulation to develop and execute the modeling of drug delivery modalities such as injections, drug diffusion, and drug absorption using commercial or open-source simulation platforms.
  • Present work at group meetings or external conferences and prepare manuscripts for publication.
  • Show learning agility and willingness to rapidly learn the fundamental concepts, project requirements and regulatory and competitive landscape around making innovative drug delivery solutions.
  • Contribute to the overall goals of the department and the company by developing innovative drug delivery systems that improve patient outcomes.

Other

  • Demonstrate the ability to work effectively within a cross-functional team environment but show initiative to undertake and drive independent research problems to completion.
  • Demonstrate strong communication (oral and written) skills.
  • Well-developed problem-solving skills that are based on creative thinking and attention to detail
  • Experience in managing or contributing to large-scale projects, including planning, execution, and reporting
  • Good organizational skills that will enable success in a fast-paced environment