Modeling & Simulations Engineering Senior Scientist
Modeling & Simulations Engineering Senior Scientist
Job Description
General Summary :
The M&S Engineering Senior Scientist will develop physical, mathematical and computational models based on structural mechanics, fluid dynamics, and thermodynamics.
The incumbent will generate mechanistic and data-driven insights that will accelerate design, manufacturing, and failure mode analysis of an immunoprotective device solution for cell and gene therapies.
Key Duties and Responsibilities :
- Apply engineering skills, data analysis, computational modeling to optimize design and fabrication of an implantable combination product.
- Manage complete modeling project operations entailing requirement gathering, scoping, input data requirements, problem solving, verification, validation, and documentation.
- Initiate & lead brainstorming and ideation sessions to develop device design and manufacturing concepts.
- Develop experimental designs in collaboration with other engineers and scientists.
- Work with Device Fabrication team on assessing the manufacturability of the device designs via rapid prototyping methods and accelerate design ideation phase via fit-for-purpose models and simulations.
- Collaborate with clinical and preclinical teams to understand anatomical constraints and eliminate device mechanical failure modes.
- Effectively communicate modeling results and findings at multiple levels in the organization through project status meetings, presentations, and reports.
Knowledge and Skills :
- Expertise in the mechanics and thermodynamics of polymers including plastics, hydrogels, and rubber materials.
- Experience in multiphysics modeling of phase transition in engineering and biological materials.
- Familiarity with implantable medical devices, and understanding of tissue mechanics.
- Expertise in Computer Aided Design (e.g. SolidWorks), Finite Element Method (e.g. ANSYS Mechanical, or COMSOL), Finite Volumes Method (e.
g. Fluent, or Star-CCM+), and familiarity with scientific machine learning.
- Excellent knowledge of mechanical engineering design concepts, ASTM standards, design control, and tolerance analysis with hands-on experience with materials test systems (i.e. Instron).
- Quickly adapt to evolving priorities, rapidly acquire new skills, and stay informed on new methods and approaches.
- Strong verbal and written communications skills with ability to effectively communicate at multiple levels in the organization through project status meetings, presentations, and reports.
Education and Experience :
Bachelor's degree and 8+ years of experience or a Master's degree and 5+ years of experience or a PhD and 2-5 years of experience, or the equivalent combination of education and experience.
Flex Designation :
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status :
In this Hybrid-Eligible role, you can choose to be designated as :
Before applying for this role, please read the following information about this opportunity found below.
1. Hybrid : work remotely up to two days per week; or select
2. On-Site : work five days per week on-site with ad hoc flexibility.
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
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