Post Doctoral Scientist: Computational Modeling Full-time NEW

Company Overview

At Lilly, we unite caring with discovery to make life better for people around the world. Eli Lilly is a leader in global healthcare and has been discovering and developing medicines that help improve lives for more than 140 years. The pharmaceutical industry is a complex, rapidly changing environment with innovation at its core. Across the globe, we are a leader in innovative research and development. Our 39,000 employees around the world work as a team to bring breakthrough medicines to patients who need them. We are looking for motivated, highly skilled scientists and engineers to help us continue to bring breakthrough medicines to patients.

Department Description

Delivery, Device, and Connected Solutions (DDCS) is an organization within the Product Research and Development (PRD) at Eli Lilly and Company. DDCS is a diverse group of chemists, material scientists, and engineers with the critical responsibility of delivering our portfolio. DDCS provides the scientific and engineering expertise to discover and develop delivery solutions across a range of modalities, from injection devices to nanomedicines. Within DDCS, the Drug Delivery and New Product Innovation (DDNPI) team is leading efforts to advance research in injection physiology for various routes of drug delivery. Our goal is to develop state-of-the-art drug delivery systems and devices. The DDNPI team is seeking a postdoctoral researcher with computational modeling expertise and a background in injection physiology.

Responsibilities

Top candidates for this position will be expected to:

• 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.
• 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. 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.

Basic Qualifications

• PhD in Mechanical Engineering or similar disciplines.
• 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.

Additional Skills/Preferences

• Experience with Multiphysics modeling and simulation.
• Experienced in scripting (e.g., Python) and automating tasks.
• Fundamental understanding of medical devices.
• 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.
• Ability to balance multiple activities, prioritize and manage uncertainty and risk.
• A strong desire to learn emerging technologies and new scientific concepts to support multi-disciplinary research.
• Good interpersonal skills and a persistent tendency for collaboration.
• Demonstrated proficiency in scientific writing and publication in peer-reviewed journals, along with scientific presentation skills.