Process Systems Engineer
Eli Lilly and Company
5 days ago
On-site
Indianapolis, IN
Operations
Responsibilities:
- Design and optimize pharmaceutical manufacturing processes (solids operations, chemical reactions, separations, bioprocessing) using modeling, simulation, optimization, and data analysis.
- Develop computational strategies and implement data analysis, models, and simulations to support design/scale-up.
- Analyze lab and manufacturing data (including parameter estimation) and help set process conditions for experiments and production.
- Use thermodynamics and material characterization to inform model-based solutions.
- Develop and deploy user-friendly computational tools; train PRD users.
- Support integrated commercial teams for development/demonstration of new processes.
- Lead compliance supervision (GxP, SOPs, safety/regulatory practices).
- Collaborate with Product Delivery, Project Management, Quality, Manufacturing, and Regulatory.
- Develop and oversee external manufacturing network/CMOs.
- Mentor engineers/scientists; publish/present and author technical documents; develop control strategies for registration submissions.
Qualifications/Skills:
- PhD in Chemical Engineering or related discipline.
- Process systems engineering across modeling, optimization, control, statistics, numerical methods, programming.
- Experience building fundamental/empirical/hybrid models; parameter estimation and uncertainty.
- Familiarity with multi-scale simulation tools (e.g., DEM/CFD/FEM/PBM).
- Knowledge of techno-economic evaluation, supply chain/production planning/OR.
- Proficiency with tools (e.g., Python, MATLAB, gPROMS, Aspen+, GAMS, Pyomo, R) and data/automation architectures.
- Strong communication/documentation and cross-disciplinary collaboration.
- Leadership, problem-solving, attention to detail.
Benefits (if eligible): 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance, time off/leave, well-being benefits.
- Design and optimize pharmaceutical manufacturing processes (solids operations, chemical reactions, separations, bioprocessing) using modeling, simulation, optimization, and data analysis.
- Develop computational strategies and implement data analysis, models, and simulations to support design/scale-up.
- Analyze lab and manufacturing data (including parameter estimation) and help set process conditions for experiments and production.
- Use thermodynamics and material characterization to inform model-based solutions.
- Develop and deploy user-friendly computational tools; train PRD users.
- Support integrated commercial teams for development/demonstration of new processes.
- Lead compliance supervision (GxP, SOPs, safety/regulatory practices).
- Collaborate with Product Delivery, Project Management, Quality, Manufacturing, and Regulatory.
- Develop and oversee external manufacturing network/CMOs.
- Mentor engineers/scientists; publish/present and author technical documents; develop control strategies for registration submissions.
Qualifications/Skills:
- PhD in Chemical Engineering or related discipline.
- Process systems engineering across modeling, optimization, control, statistics, numerical methods, programming.
- Experience building fundamental/empirical/hybrid models; parameter estimation and uncertainty.
- Familiarity with multi-scale simulation tools (e.g., DEM/CFD/FEM/PBM).
- Knowledge of techno-economic evaluation, supply chain/production planning/OR.
- Proficiency with tools (e.g., Python, MATLAB, gPROMS, Aspen+, GAMS, Pyomo, R) and data/automation architectures.
- Strong communication/documentation and cross-disciplinary collaboration.
- Leadership, problem-solving, attention to detail.
Benefits (if eligible): 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits, life insurance, time off/leave, well-being benefits.