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Computational Neuroscience Jobs in Wisconsin (NOW HIRING)

Senior Scientist I, Mechanical Engineering

Madison, WI · On-site

$105K - $139K/yr

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... Experience with Finite Element Analysis (FEA) or Computational Fluid Dynamics (CFD) modeling in ...

Senior Scientist I, Mechanical Engineering

Madison, WI · On-site

$105K - $139K/yr

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... Experience with Finite Element Analysis (FEA) or Computational Fluid Dynamics (CFD) modeling in ...

Computational Neuroscience information

See Wisconsin salary details

$41

$55

$74

How much do computational neuroscience jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for computational neuroscience in Wisconsin is $55.44, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $74.23 per hour, depending on experience, location, and employer.

What is computational neuroscience?

Computational neuroscience involves studying brain function through computer modeling and mathematical analysis. Computational neuroscientists perform research in which they collect data and create computer models based on the electrical patterns and biological functions of the brain. Researchers in this field may focus on making connections between brain functions and cognition, sensory experience, or the behavior of the central nervous system. They may use computer models and data to create theoretical models. Other scientists may test the models to see if they have biological or psychological applications.

What is computational neuroscience?

Computational neuroscience is an interdisciplinary field that uses mathematical models, computer simulations, and theoretical analysis to understand how the brain processes information. Researchers in this field aim to explain neural phenomena by modeling the functions of neurons, neural circuits, and overall brain systems. By combining principles from neuroscience, computer science, physics, and mathematics, computational neuroscience helps bridge the gap between biological data and theoretical understanding, ultimately advancing our knowledge of brain function and cognition.

What are the key skills and qualifications needed to thrive as a computational neuroscientist, and why are they important?

To thrive as a Computational Neuroscientist, you need a strong background in neuroscience, mathematics, and computer science, often supported by an advanced degree (PhD or MSc) in a related field. Proficiency with programming languages (such as Python or MATLAB), computational modeling software, and data analysis tools is typically required. Critical thinking, problem-solving, and effective collaboration are standout soft skills in this interdisciplinary field. These skills and qualities enable the development and interpretation of complex brain models, driving scientific discovery and innovation in neuroscience.

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

Professionals in computational neuroscience often encounter challenges such as integrating diverse data types (e.g., electrophysiological, imaging, and behavioral data) and keeping up with rapidly evolving computational tools and methods. Collaborating closely with experimental neuroscientists and computer scientists is essential to bridge knowledge gaps and ensure robust model development. Continuous learning through workshops, conferences, and online courses can help professionals stay current with new techniques and best practices in the field.

What is the difference between Computational Neuroscience vs Neuroscientist?

AspectComputational NeuroscienceNeuroscientist
Required CredentialsAdvanced degrees in neuroscience, computer science, or related fieldsTypically PhD in neuroscience or related disciplines
Work EnvironmentResearch labs, universities, tech companies focusing on modeling and data analysisResearch institutions, hospitals, universities studying brain function
Industry UsageDevelops models, algorithms, and simulations of neural systemsInvestigates brain mechanisms, conducts experiments, publishes research

Computational Neuroscience focuses on creating models and simulations of neural systems using computational methods, while Neuroscientists primarily conduct experimental research to understand brain function. Both roles often collaborate but differ in their approach and tools used.

How do you become a computational neuroscientist?

To become a computational neuroscientist, one typically earns a bachelor's degree in neuroscience, computer science, or a related field, followed by a master's or Ph.D. in computational neuroscience, neuroscience, or a quantitative discipline. Developing skills in programming, data analysis, and mathematical modeling, along with experience using tools like MATLAB or Python, is essential for research and analysis in this field.

What does computational neuroscience do?

Computational neuroscience is a field where professionals develop mathematical models and computer simulations to understand how the brain processes information, learns, and adapts. They often use programming skills and neurobiological data to analyze neural systems and contribute to advancements in neuroscience research and brain-inspired technologies.

What are the most commonly searched types of Computational Neuroscience jobs in Wisconsin?

The most popular types of Computational Neuroscience jobs in Wisconsin are:

What are popular job titles related to Computational Neuroscience jobs in Wisconsin?

For Computational Neuroscience jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Computational Neuroscience job openings in Wisconsin as of August 2026, with employment types broken down into 1% Internship, 60% Full Time, 38% Part Time, and 1% Contract. Highlights an 50% Physical, 2% Hybrid, and 48% Remote job distribution, with an average salary of $115,318 per year, or $55.4 per hour.

Postdoctoral Researcher

Medical College of Wisconsin

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago


Medical College Of Wisconsin rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

262nd of 621 rated colleges and universities


Job description

Summary
As a Postdoctoral Researcher, you will, according to the National Institute of Health (NIH) and the National Science Foundation (NSF), be an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution and thus are expected to have the freedom to publish the results of their scholarship.
The DREAM (Developing Resilience to Ease Anguish in Mourning) Lab, led by Dr. Joseph Goveas within the Department of Psychiatry and Behavioral Medicine at the Medical College of Wisconsin, is seeking a Postdoctoral Fellow to join our multidisciplinary neuroimaging research team. Our lab's mission is to uncover neurobiological biomarkers predictive of Prolonged Grief Disorder (PGD) onset and treatment response. With an extensive longitudinal dataset already collected, including multimodal MRI (e.g., resting-state connectivity, DTI, quantitative morphometry, task-induced BOLD activation, cerebral blood flow), along with detailed clinical and behavioral data, we are scaling up analytic efforts to answer fundamental questions about how grief unfolds over time-especially in older adults-and what differentiates resilient adaptation from PGD.
Current projects include developing predictive models of chronic grief outcomes in acutely grieving adults, characterizing the heterogeneity in grief trajectories, and investigating how targeted interventions modulate brain networks and relate to clinical improvement in PGD.
The Fellow will contribute to the development of computational brain models of grief and resilience in older adults, participating in multiple projects that employ advanced functional magnetic resonance imaging (fMRI) techniques to investigate brain network mechanisms underlying diverse grief trajectories, including adaptive (resilient) responses and complications such as PGD. This position also offers a unique opportunity to work with rich, multimodal longitudinal datasets from both acutely and chronically grieving adults.
Primary Responsibilities
  • Transition to career independence through the development of professional skills that enable the postdoc to actively pursue a career of their own choosing.
  • Be supervised by at least one senior scholar who actively promotes the postdoc's professional development.
  • Establish an individual development plan (IDP) that incorporates equally the postdoc's career and training goals and the mentor's research goals.
  • Pursue basic, clinical, or translational projects so long as effort is focused primarily on research.
  • Publish results of the postdoc's research and scholarship during their appointment.
  • The postdoctoral appointment is temporary by nature, the aggregate amount of time spent as a postdoc is recommended to not exceed five years (not including family medical leave or maternity/paternity leave).
  • As postdocs are important members of the host institution's community, appropriate levels of compensation, health care, and other benefits commensurate with their essential status should be afforded, independent of the postdoc's source of funding.
  • Perform advanced computational analyses on longitudinal brain imaging and behavioral datasets.
  • Design, implement, and refine innovative neuroimaging data processing pipelines.
  • Report to the Principal Investigator and closely collaborate with multidisciplinary teams across the Center for Imaging Research, Neuroscience Center, and departments of Psychiatry, Biophysics, and Radiology.
  • Lead manuscript preparation and contribute to high-impact scientific publications.
  • Engage in regular meetings with the PI and research team to interpret findings and optimize methodologies.
  • Attend and present at scientific conferences.

Knowledge - Skills - Abilities
  • Programming: Proficiency in Python is required. Experience working in Linux environment and writing Bash scripts is also expected.
  • Neuroimaging Analysis: Programming and prior experience with neuroimaging data analysis is required.
  • Statistical Analysis: Solid foundation in statistical modeling and data analysis is required. Experience with longitudinal modeling, machine learning methods, subgroup analysis, or other advanced modeling techniques is highly desirable.
  • Software Proficiency: Experience with neuroimaging tools such as AFNI, SPM, FSL, Freesurfer, or similar is a plus.
  • Communication: Strong presentation skills with the ability to clearly communicate complex scientific concepts.
  • Scientific Literacy: Excellent English reading, writing, speaking, and comprehension skills in scientific contexts.
  • Research Output: Experience preparing scientific reports, abstracts, manuscripts, and grant submissions is preferred.
  • Problem Solving: Demonstrated ability in critical thinking and solving complex research problems.
  • Mentoring: An aptitude to mentor student and research assistants

Qualifications
Minimum Required Education: PhD in a relevant scientific field (e.g., computer science, image processing, or computational neuroscience).
Minimum Required Experience: Programming experience is required. Prior experience performing neuroimaging analysis is strongly preferred.
Preferred experience: Strong programming and neuroimaging analysis experience. Familiarity with longitudinal modeling or machine learning techniques is desirable.
Physical Requirements
Work requires occasionally lifting moderate weight materials, standing, or walking continuously.
Work Environment
Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.
Sensory Acuity
Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.
Why MCW?
  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
  • 403B Retirement Package
  • Competitive Vacation and Paid Holidays offered
  • Tuition Reimbursement
  • Paid Parental Leave
  • Employee & Family Assistance Program (EFAP)
  • Pet Insurance
  • On campus Fitness Facility, offering onsite classes
  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview
For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.
MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:
The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.

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About Medical College of Wisconsin

Sourced by ZipRecruiter

The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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