Skills this job asks for
Machine learningStatisticsLeadershipPythonPyTorchTensorFlowTranslation
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 193 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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What Medtronic INC paid sponsored hires in similar roles2 certified filings for “Pr.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 193 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Medtronic INC paid sponsored hires in similar roles
- 2 certified filings for “Pr. Computer Vision Data Scientist - Manufacturing” (Data Scientists) in MN: $84k–$142k, median $113k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
We anticipate the application window for this opening will close on - 31 Oct 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 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 tr
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