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).
Requirements
Doctorate degree and relevant in-silico modeling experience showcasing proficiency in commercially available tools.
OR Master's degree and 3 years of relevant in-silico modeling experience showcasing proficiency in commercially available tools.
OR Bachelor's degree and 5 years of relevant in-silico modeling experience showcasing proficiency in commercially available tools.
OR Associate degree and 10 years of relevant in-silico modeling experience showcasing proficiency in commercially available tools.
OR High school diploma / GED and 12 years of relevant in-silico modeling experience showcasing proficiency in commercially available tools.
Proficiency in mathematical and computational (in-silico) modeling
FEA for structural, fluidic, thermal, and multi-physics problems using commercial software such as 3DEXPERIENCE platform SIMULIA (primary), ABAQUS, ANSYS, LS-DYNA, and COMSOL (secondary).
Skilled in programming in Python, and/or MATLAB for engineering purposes.
Experience with GitLab and/or other code/model repositories available for version control, code collaboration, and project management.
Experience with mathematical/first principles modeling, numerical techniques, and uncertainty quantification such as Monte Carlo simulations and their implications for design for six sigma (DFSS).
Excellent communication, presentation, and technical documentation skills are highly desired.
Benefits
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
A discretionary annual bonus program
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible
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