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Computational Neuroscience Jobs in Wisconsin (NOW HIRING)

Baylor College of Medicine

WI · On-site

$63 - $75/hr

Neuroscience Work Arrangement: Onsite only Location: Houston, TX Salary Range: $63,480 - $75,000 ... Computational approaches This position offers the opportunity to develop cutting-edge molecular ...

AbbVie

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 ...

AbbVie

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 ...

All JobsComputational Neuroscience JobsComputational Neuroscience Jobs in Wisconsin

Computational Neuroscience information

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$41

$55

$74

How much do computational neuroscience jobs pay per hour?

As of Sep 5, 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.
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What are the most commonly searched types of Computational Neuroscience jobs in Wisconsin?

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

What job categories do people searching Computational Neuroscience jobs in Wisconsin look for?

The top searched job categories for Computational Neuroscience jobs in Wisconsin are:

Computational Neuroscience jobs near you
Infographic showing various Computational Neuroscience job openings in Wisconsin as of August 2026, with employment types broken down into 73% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $115,318 per year, or $55.4 per hour.

Postdoctoral Associate - Protein engineering and High-Throughput Screening

Baylor College of Medicine

WI • On-site

$63 - $75/hr

Other

Posted 4 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

190th of 630 rated colleges and universities

Job description

Postdoctoral Associate - Protein engineering and High-Throughput Screening

Division: Neuroscience
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $63,480 - $75,000
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.

Summary

The St-Pierre Lab is seeking a motivated and creative scientist or engineer to develop next-generation tools for interfacing with the brain that includes genetically encoded voltage indicators (GEVIs), optogenetic silencers, and fluorescent proteins. Postdoctoral Associate with expertise, which may include:

  • Protein engineering
  • Optical system development
  • High-throughput screening
  • Electrophysiology
  • Computational approaches

This position offers the opportunity to develop cutting-edge molecular technologies, expand your technical skill set, and contribute to a collaborative, intellectually stimulating research environment. The work aligns with the St-Pierre Lab's mission to create and apply innovative tools for perturbing and imaging the brain.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Leads and contributes to research projects, both independently and collaboratively.
  • Sets up, maintains, and optimizes experimental equipment.
  • Mentors and trains lab members in techniques and experimental design.
  • Presents research findings in lab meetings and at scientific conferences.
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • At least one first-author (or co-first-author) paper published in or submitted to a high-impact, peer-reviewed English-language journal.
  • Manuscripts in preparation can be noted in your CV or cover letter.

Requisition ID: 26080

Baylor College of Medicine fosters diversity among its students, trainees, faculty, and staff as a prerequisite to accomplishing our institutional mission and setting standards for excellence in training healthcare providers and biomedical scientists, promoting scientific innovation, and providing patient-centered care. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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