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Role Summary
Senior Engineer - Modeling and Simulation
Responsibilities
Identifying requirements and specifications suitable for in-silico evaluation of combination products.
Applying finite element analysis (FEA) and modeling and simulation (M&S) principles to develop, deploy, enhance, automate, and manage in-silico models for combination products.
Implementing in-silico models in commercial and proprietary software and deploying these models to internal users via enterprise modeling infrastructure.
Demonstrating critical and analytical thinking skills to explore new opportunities in in-silico and data-driven computational models and simulate complaints and real-world issues within lifecycle of combination products.
Providing positive leadership and delivering work in a fast-paced, multi-project, cross-functional environment.
Demonstrating modeling and visualization approaches as part of proof-of-concept projects.
Taking ownership of developing and managing backlog of in-silico product content in Scrum and SAFe (Scale Agile Framework).
Collaborating with internal stakeholders such as design engineering, data scientists, and quality teams, and documenting the technical basis of the models for the broader engineering and scientific community responsible for design and manufacturing of drug delivery devices.
Qualifications
Basic Qualifications: Doctorate degree with relevant in-silico modeling experience and proficiency in commercially available tools, OR Master’s degree with 3 years of relevant in-silico modeling experience, OR Bachelor’s degree with 5 years of relevant in-silico modeling experience, OR Associate degree with 10 years of relevant in-silico modeling experience, OR High school diploma/GED with 12 years of relevant in-silico modeling experience.
Preferred Qualifications: Proficiency in mathematical and computational (in-silico) modeling, FEA for structural, fluidic, thermal, and multi-physics problems using tools such as 3DEXPERIENCE SIMULIA, ABAQUS, ANSYS, LS-DYNA, and COMSOL; programming in Python and/or MATLAB; experience with GitLab or similar repositories; experience with Monte Carlo simulations and DFSS; knowledge of regulatory requirements for combination products and design controls; excellent communication and documentation skills; ability to learn new concepts rapidly; ability to manage multiple priorities in cross-functional environments.
Skills
Mathematical and computational modeling
FEA and multi-physics simulations
Programming: Python, MATLAB
Version control: GitLab or equivalent
Uncertainty quantification (e.g., Monte Carlo)
Regulatory knowledge for medical devices and design controls
Strong communication, presentation, and technical documentation
Cross-functional collaboration
Education
Details in Qualifications above (Doctorate/Master’s/Bachelor’s/Associate/High school with relevant experience)
Additional Requirements
Ability to work in a fast-paced, multi-project environment and manage multiple priorities