Senior Computational Modeling Engineer - CRM

Medtronic•Minneapolis, MN

2d•$105,600 - $158,400•Onsite

About The Position

This position will provide highly specialized computational modeling expertise in the design and development of innovative products to treat cardiac diseases. The emphasis will be on modeling the electrophysiology 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 must have sufficient knowledge and expertise in modeling cardiac electrophysiology. This position is in Mounds View, MN. within the Cardiac Rhythm Management (CRM) operating unit. At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We are working on-site 4 days per week as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary. This role will require less than 10% of travel to enhance collaboration and ensure successful completion of projects. We believe that when people from different cultures, genders, and points of view come together, innovation is the result —and everyone wins. Medtronic walks the walk, creating an inclusive culture where you can thrive.

Requirements

Demonstrated knowledge or expertise in cardiovascular electrophysiology.
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.
Experience with programming/scripting in Python and Matlab.
Experience with CARPentry, or similar.
Experience with Mimics or Simpleware.
Bachelor’s degree in Science, Technology, Engineering, Math, or a related technical discipline and minimum of 4 years of technical work experience OR advanced degree with 2 years of work technical experience OR PhD with 0 years of experience.

Nice To Haves

PhD engineering degree with an emphasis in 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 ANSYS, Abaqus, or LS-DYNA.
Experience with CAD software such as Pro/Engineer or Solidworks.
Demonstrated problem solving and critical thinking skills.
Demonstrated time management and organization skills.
Demonstrated ability to learn and apply new knowledge quickly.

Responsibilities

Perform theoretical and finite element analysis (FEA) and/or to predict cardiac system behavior under in vivo and in vitro types of load conditions.
Develop technical solutions to complex problems that require the regular use of creativity and critical thinking.
Utilize FEA and other numerical techniques to develop electrophysiological cardiac models capable of capturing physiological effects and able to incorporate cardiac devices to assist in the design and evaluation of cardiac devices (e.g., Sensing, pacing, electric fields).
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.