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Neuroscience Engineering Jobs in Minnesota (NOW HIRING)

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Neuroscience Engineering information

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$34.3K

$91K

$169.4K

How much do neuroscience engineering jobs pay per year?

As of Aug 28, 2026, the average yearly pay for neuroscience engineering in Minnesota is $91,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,200.00 and $111,700.00 per year, depending on experience, location, and employer.

What is neuroscience engineering?

Neuroscience engineering is an interdisciplinary field that combines principles of neuroscience and engineering to study, model, and manipulate the nervous system. Professionals in this field develop technologies such as brain-computer interfaces, neural implants, and devices for diagnosing or treating neurological disorders. They work at the intersection of biology, electronics, computer science, and mathematics to advance our understanding of the brain and develop innovative medical or research solutions. This field is critical for advancements in neuroprosthetics, neuroimaging, and therapies for conditions like epilepsy or paralysis.

What are the key skills and qualifications needed to thrive as a neuroscience engineer?

To thrive as a Neuroscience Engineer, you need a strong background in neuroscience, biomedical engineering, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), neuroimaging tools (like fMRI or EEG), and data analysis software is essential. Problem-solving, interdisciplinary collaboration, and effective communication are standout soft skills in this role. These competencies enable the development of innovative neural technologies and foster successful teamwork in complex research or clinical environments.

What are some common challenges faced by professionals in neuroscience engineering, and how can they be addressed?

One common challenge in Neuroscience Engineering is navigating the interdisciplinary nature of the field, as it requires collaboration between neuroscientists, engineers, and clinicians. Professionals often need to bridge gaps in communication and coordinate complex research or development projects across different domains. Staying current with advances in both neuroscience and engineering can also be demanding. Building strong cross-functional teams, actively engaging in continuous learning, and fostering open communication channels are effective ways to address these challenges.

What is the difference between Neuroscience Engineering vs Biomedical Engineering?

AspectNeuroscience EngineeringBiomedical Engineering
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Bioengineering, or related fields
Work EnvironmentResearch labs, healthcare tech companies, universitiesHospitals, medical device companies, research institutions
Industry UsageFocuses on neural systems, brain-computer interfaces, neurotechnologyDesigns medical devices, prosthetics, imaging systems
Common Search/ComparisonNeuroscience Engineering vs Biomedical Engineering

Neuroscience Engineering and Biomedical Engineering share overlapping skills and work environments, but Neuroscience Engineering specializes in neural systems and neurotechnology, while Biomedical Engineering covers a broader range of medical devices and systems. Both fields are vital in advancing healthcare technology and often collaborate in research and development.

Can you go into engineering with a neuroscience degree?

Neuroscience engineering is an interdisciplinary field that combines neuroscience with engineering principles, and individuals with a neuroscience degree can pursue careers in biomedical engineering, neural engineering, or neurotechnology. Gaining skills in programming, electronics, and data analysis, along with relevant internships or certifications, can enhance employment prospects in engineering roles related to neuroscience.

What does a neuroscience engineering do?

A neuroscience engineer designs and develops technologies to study and interface with the nervous system, such as neural implants, brain-computer interfaces, and neuroprosthetics. They often work with interdisciplinary teams, utilize tools like electrophysiology and imaging, and require knowledge of neuroscience, engineering principles, and programming. Their work supports medical treatments, research, and the development of assistive devices.

What are popular job titles related to Neuroscience Engineering jobs in Minnesota?

For Neuroscience Engineering jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Neuroscience Engineering jobs in Minnesota look for?

The top searched job categories for Neuroscience Engineering jobs in Minnesota are:

Infographic showing various Neuroscience Engineering job openings in Minnesota as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 3% Contract, and 2% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $91,042 per year, or $43.8 per hour.

Post-Doctoral Associate - Human Cognitive Neuroscience, Computational Psychiatry, and Brain Stimulat

University of Minnesota

Minneapolis, MN

$63K - $74K/mo

Full-time

Medical, Dental, Life

Re-posted 14 days ago


Job description

About the Job
 

Position Summary:
The Post-Doctoral Associate will join an interdisciplinary research program focused on understanding the neural circuit mechanisms underlying cognition and psychiatric illness. The successful candidate will lead analyses of human intracranial electrophysiology, behavioral, and brain stimulation datasets; develop computational models of neural and behavioral processes; contribute to experimental design; and disseminate findings through publications and conference presentations. This position provides a unique opportunity to work with rare human intracranial datasets and advanced neuromodulation approaches while developing an independent research trajectory in systems, cognitive, or clinical neuroscience.
Work Schedule: In-person (Hybrid flexibility possible), M-F and weekends.

Duties/Responsibilities: 
40% - Research and Data Analysis:

  • Analyze human behavioral, electrophysiological, neuroimaging, and brain stimulation datasets.
  • Develop computational models of cognition, behavior, and neural activity.

25% - Experimental Design and Study Execution:

  • Design, implement, and oversee cognitive neuroscience and neuromodulation experiments.
  • Contribute to protocol development and data collection efforts.

20% - Manuscript and Grant Preparation:

  • Lead and contribute to scientific publications.
  • Assist with grant writing and development of new research initiatives.

10% - Mentorship and Collaboration:

  • Mentor graduate students, research staff, and trainees.
  • Collaborate with investigators across psychiatry, neurosurgery, neuroscience, engineering, and psychology.

5% - Scientific Dissemination:

  • Present research findings at conferences, seminars, and collaborative meetings.
     
Qualifications
 

Required Qualifications:

  • PhD, MD/PhD, or equivalent doctoral degree in neuroscience, psychology, cognitive science, biomedical engineering, computer science, psychiatry, neurology, statistics, or a related field.
  • Strong quantitative and programming skills.
  • Experience analyzing human behavioral, electrophysiological, neuroimaging, or other complex biological datasets.
  • Demonstrated scholarly productivity through publications, preprints, or equivalent research outputs.
  • Strong written and verbal communication skills.
  • Ability to work independently and collaboratively in a multidisciplinary research environment.

Preferred Qualifications: 

  • Experience with intracranial EEG, ECoG, stereo-EEG, DBS recordings, or neural stimulation studies.
  • Expertise in computational modeling, including reinforcement learning, Bayesian methods, drift-diffusion models, or state-space approaches.
  • Experience with Python, MATLAB, R, Julia, or related scientific computing tools.
  • Familiarity with human cognitive neuroscience experiments and task design.
  • Experience with neuromodulation methods including TMS, tACS, DBS, or responsive neurostimulation.
  • Interest in computational psychiatry, addiction, depression, chronic pain, or related translational neuroscience research.
About the Department
 

The Herman Darrow Lab at the University of Minnesota conducts interdisciplinary research at the intersection of human cognitive neuroscience, computational psychiatry, intracranial electrophysiology, and brain stimulation. The lab investigates how distributed neural circuits support cognition, decision-making, working memory, cognitive control, and psychiatric symptoms. Research combines human intracranial recordings, computational modeling, behavioral experimentation, and neuromodulation approaches to develop circuit-based interventions for psychiatric and neurological disorders.

To learn more about the Department of Psychiatry and Behavioral Sciences, please visit https://med.umn.edu/psychiatry. 

Pay and Benefits
 

Pay Range: $63,480 - $74,424 annually; depending on education/qualifications/experience

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.