Sr Computational Modeling Engineer - CRM

Senior Computational Modeling Engineer

Careers That Change Lives At Medtronic, we push the limits of what technology can do to make tomorrow better than yesterday, and that makes it an exciting and rewarding place to work. We value what makes you unique. Be a part of a company that thinks differently to solve problems, make progress, and deliver meaningful innovations. The Cardiac Rhythm Management (CRM) Operating Unit offers devices and therapies that treat patients with abnormal heart rhythms and heart failure.

This position will provide highly specialized computational modeling expertise in design and development of innovative products to treat cardiac diseases. The emphasis will be on modeling the physiology of the heart and the interaction between cardiac function and medical devices in vivo. Bearing in mind first principles, the Senior Computational Modeling Engineer will understand business requirements, formulate a modeling approach that will address those requirements, independently carry out the modeling activities and provide concise communication of the results through technical reports and presentations.

The ideal candidate will have sufficient knowledge and expertise in both cardiac mechanics and electrophysiology.

In general, the following responsibilities apply for the Senior Computational Modeling Engineer role. This includes, but is not limited to the following:

• Utilize FEA and other numerical techniques to develop mechanical and/or electrophysiological cardiac models capable of capturing physiological effects (e.g. ventricular tachycardia) and able to incorporate interventions to assist in the design and evaluation of cardiac devices.
• Together, with research & development members, identify research goals and best applicability of computational models.
• Apply modeling tools to help design and develop new test methods and integrate new materials and processes.
• Regularly update methods and implementation to improve efficiency, applicability, and to maintain state-of-the-art practices.
• Work collaboratively with cross-functional product development teams to help bring products to market
• Carry out timely troubleshooting by engaging peers, software technical support, and literature.
• Perform model verification study and validation assessment as appropriate.
• Provide regular status updates to internal customers and management.
• Prepare reports and presentations to communicate technical assessments and analysis results.
• Provide peer feedback to others in the group on their work.
• Generate intellectual property and aid in the evaluation of intellectual property.

The successful candidate will have:

• Demonstrated knowledge or expertise in cardiovascular physiology.
• Experience in solving multiphysics problems that requires coupling among mechanical, electrical, biological and fluid behaviors.
• Experience with incorporating subject- and/or patient-specific features into computational modelling methods.
• Demonstrated verbal and written communication skills.
• Experience with programming/scripting in Python, or equivalent with AI tools.
• Experience with Abaqus CAE (Explicit/Standard), or LS-DYNA, or CARP, or equivalent.
• Experience with segmentation tools and software.
  
  E.g., Seg3d, Simpleware.

Qualifications

Must Have - Minimum Requirements

TO BE CONSIDERED FOR THIS ROLE, PLEASE BE SURE THE MINIMUM REQUIREMENTS ARE EVIDENT ON YOUR RESUME

• Bachelor's degree in Science, Technology, Engineering, Math, or a related technical discipline and minimum of 7 years of technical work experience OR advanced degree with 5 years of work technical experience.

Nice to Have

• PhD engineering degree with an emphasis in solid mechanics, FEA or electrophysiology.
• Experience using FEA for device design, optimization, testing verification, method validation, and regulatory submissions.
• Ability to scope tasks and projects (time, resources and tools) to develop a schedule and update management.
• Ability to build relationships and work effectively with others on cross-functional teams.
• Experience with Six Sigma practices and statistical methods.
• Experience with CAD software such as Pro/Engineer or Solidworks.