Sr Scientist, Neuromodulation, Minneapolis, MN (On - site)

About this role

We anticipate the application window for this opening will close on - 3 Sep 2026   Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72+ million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact.

A Day in the Life Medtronic Neuroscience is focused on transforming care for patients with neurological, spinal, and chronic pain conditions. Through meaningful innovation and strong clinical partnerships, we help clinicians deliver therapies that improve lives and expand what is possible in-patient care.

Medtronic Neuromodulation Research & Development (R&D) advances technologies that help restore and improve function for people living with neurological disorders. Within the Brain Modulation portfolio, teams develop and evaluate next-generation sensing, stimulation, and therapeutic technologies, including Deep Brain Stimulation (DBS) systems and MRI-guided laser ablation solutions for minimally invasive neurosurgery. This function brings together scientists, engineers, clinicians, and cross-functional partners to apply data-driven approaches that advance therapy development and clinical outcomes.

At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. We’re working onsite 4 days a week to drive performance, foster an environment of belonging, and collaborate to inspire as we engineer the extraordinary.                      Check us out on LinkedIn: Medtronic Brain Modulation and Pain Interventions

The Senior Scientist will contribute to the development of new algorithms, technologies, and therapeutic approaches within the Brain Modulation portfolio. This role focuses on applying artificial intelligence (AI), machine learning (ML), signal processing, and advanced analytics to large-scale neural recording datasets to generate clinically meaningful insights that support product and therapy innovation.

Primary Responsibilities • Analyze large-scale chronic, experimental, and observational neural recording datasets to identify clinically relevant insights and opportunities for therapy advancement. • Develop, evaluate, and optimize AI, machine learning, statistical, and signal processing algorithms for neural sensing and brain modulation applications. • Design and execute analyses that support scientific discovery, technology development, and evidence generation for current and future products. • Collaborate with engineers, scientists, clinicians, and project teams to define technical approaches, interpret results, and translate findings into development activities. • Support preclinical and clinical research initiatives by assessing the scientific and technical feasibility of new therapy concepts, algorithms, and product features. • Communicate analytical findings, technical recommendations, and project outcomes to cross-functional stakeholders and leadership. • Build technical expertise in Deep Brain Stimulation and neural sensing technologies to support ongoing product and therapy development. • Represent the organization with external researchers, clinicians, and key opinion leaders to advance scientific understanding and collaboration.

Required Qualifications • Baccalaureate degree and minimum of 4 years OR Master's degree with a minimum of 2 years OR PhD with relevant experience in Neuroscience, Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, or Advanced Analytics, Machine Learning, Signal Processing in an Research and Development environment or related quantitative discipline. • Experience developing and applying statistical methods, experimental designs, and analytical approaches to solve complex technical problems. • Experience developing machine learning and/or artificial intelligence models for research, product development, or data analysis applications. • Experience processing and analyzing large datasets using Python, MATLAB, or similar scientific computing environments. • Experience with physiological signal analysis and signal processing methods.

Preferred Qualifications • PhD in Neuroscience, Biomedical Engineering, Electrical Engineering, Computer Science, Data Science, or a related quantitative discipline; or Master's degree with 5+ years of experience applying advanced analytics, machine learning, or signal processing in a research and development environment. • Experience translating published scientific research into practical analytical methods, algorithms, or tools. • Experience analyzing neural recording data and developing insights from neural sensing technologies. • Experience using machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn. • Experience with software development practices including object-oriented programming, version control, testing, and code management. • Experience collaborating directly with neurologists, neurosurgeons, or clinician researchers in research, clinical, or product development settings.

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.

Physical Job Requirements

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 

The physical demands described within the Responsibilities section of this job description are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabiliti

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