Senior Scientist, Pain Interventions - Onsite

Medtronic Neuromodulation develops implantable therapies and technologies that help treat chronic pain, movement disorders, and other neurologic conditions. The operating unit combines expertise across neural engineering, data science, clinical research, and product development to advance therapy innovation and generate insights from neural signals that inform future treatment approaches.

Check us out on LinkedIn: Medtronic Brain Modulation and Pain Interventions

This position is based in Minneapolis, Minnesota, and requires an onsite presence. The role partners closely with cross-functional stakeholders across research, engineering, clinical, regulatory, and commercial functions to support development of next-generation neuromodulation therapies and technologies. No travel is required.

This role applies advanced data science, artificial intelligence, machine learning, and signal processing techniques to neural recording datasets generated through research, preclinical, and clinical activities. The Senior Scientist will translate complex neural data into actionable scientific insights, support development of novel therapeutic concepts, and contribute to evidence generation that advances neuromodulation therapies.

Primary Responsibilities

• Analyze large-scale neural recording datasets to identify clinically meaningful patterns, biomarkers, and therapy opportunities.
• Develop machine learning, artificial intelligence, statistical, and signal processing algorithms to generate predictive and diagnostic insights.
• Design and execute data analysis strategies supporting research, preclinical, and clinical studies.
• Collaborate with scientists, engineers, and project teams to define technical questions and translate findings into product and therapy development decisions.
• Evaluate novel neural engineering concepts and assess feasibility for current and future neuromodulation technologies.
• Communicate technical findings and recommendations to cross-functional stakeholders and leadership.
• Support development of scientific evidence for new therapies, product features, and technology platforms.
• Represent scientific work with external clinical partners, researchers, and key opinion leaders.

Required Qualifications

• Requires a Baccalaureate degree and a minimum of 4 years of relevant experience OR a Master's degree with a minimum of 2 years of relevant experience OR a PhD with 0 years of relevant experience in neural engineering, biomedical engineering, neuroscience, data science, machine learning, signal processing, or a related technical field.
• Experience applying statistical methods, experimental design, and data analytics to complex technical problems.
• Experience developing machine learning and/or artificial intelligence models.
• Experience processing large datasets and developing analytical models using Python and/or MATLAB.
• Experience analyzing physiological signals and applying signal processing techniques.

Preferred Qualifications

• Experience analyzing neural signals at scale.
• Experience implementing machine learning solutions using PyTorch, TensorFlow, Scikit-Learn, or similar frameworks.
• Experience translating published scientific research into analytical methods and validated workflows.
• Experience with software development practices including object-oriented programming and version control.
• Experience collaborating directly with neurologists, neurosurgeons, or clinician researchers.

For Baccalaureate degrees earned outside of the United States, a degree that satisfies the requirements of 8 C.F.R. § 214.2(h)(4)(iii)(A) is required.