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Computational Neuroscience Jobs in Rochester, MI

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Computational Neuroscience information

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$37

$50

$68

How much do computational neuroscience jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for computational neuroscience in Rochester, MI is $50.56, according to ZipRecruiter salary data. Most workers in this role earn between $43.12 and $67.69 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 job categories do people searching Computational Neuroscience jobs in Rochester, MI look for?

The top searched job categories for Computational Neuroscience jobs in Rochester, MI are:

What cities near Rochester, MI are hiring for Computational Neuroscience jobs?

Cities near Rochester, MI with the most Computational Neuroscience job openings:

Computational Neuroscience jobs near you
Infographic showing various Computational Neuroscience job openings in Rochester, MI as of August 2026, with employment types broken down into 1% Internship, 57% Full Time, 41% Part Time, and 1% Contract. Highlights an 49% Physical, 2% Hybrid, and 49% Remote job distribution, with an average salary of $105,161 per year, or $50.6 per hour.

Director, Screening and High Content Analysis

Nick Gilbert Neurofibromatosis Research Institute

Detroit, MI • On-site

Full-time

Re-posted 8 days ago

Job description

As the Director, Screening and High Content Analysis, you will lead the development and execution of NGNRI's high-content screening platform, driving target discovery and therapeutic development using advanced organoid and cell-based models.
This role will design and scale automated screening workflows that integrate high-content imaging, quantitative image analysis, and data science approaches, including AI-driven methods. As a scientific and technical leader, you will ensure seamless integration of screening capabilities with NGNRI's broader research platforms and strategic priorities.
This is a key leadership position with a clear mandate: to build and manage robust, high throughput screening and analysis systems that accelerate the discovery of therapeutic targets and compounds for NF1 and related neurological disorders.
About the role
  • Establish and lead NGNRI's high-content imaging and screening platform
  • Design and implement automated screening workflows for organoid and cell-based assays
  • Develop and optimize imaging assays, phenotypic readouts, and quantitative analysis pipelines
  • Integrate AI/ML-based approaches for image analysis and pattern recognition
  • Ensure scalability, robustness, and reproducibility of screening pipelines
  • Collaborate closely with the Head of Cell Culture and Organoids to align biological models with screening requirements
  • Recruit, train, and manage a multidisciplinary team (biologists, imaging scientists, data analysts)
  • Oversee data management, storage, and analysis pipelines, ensuring accessibility and integrity
  • Partner with internal and external researchers to design screening campaigns for target identification and drug discovery
  • Continuously evaluate emerging technologies in imaging, automation, and computational analysis
  • Contribute to interpretation of screening results and downstream validation strategies
  • Ensure compliance with relevant regulatory, data governance, and ethical standards

About you
  • High integrity and commitment to scientific excellence
  • Innovative and technology-driven mindset
  • Strong leadership and team development skills
  • Collaborative and interdisciplinary approach
  • Detail-oriented with strong organizational skills
  • Adaptable and results-driven

Preferred Qualifications
  • Significant experience in high-content imaging, phenotypic screening, or related
  • fields
  • Proven track record in designing and executing automated screening campaigns
  • Expertise in image analysis tools and platforms (e.g., CellProfiler, ImageJ, Python
  • based pipelines, or equivalent)
  • Experience with AI/ML approaches applied to biological imaging data is highly
  • desirable
  • Experience working with complex biological systems such as organoids or stem cell
  • derived models is a strong asset
  • Demonstrated leadership experience in academic, biotech, or pharmaceutical
  • environments
  • Strong analytical and problem-solving skills
  • Excellent communication and cross-functional collaboration abilities
  • Experience managing large datasets and computational workflows
  • Familiarity with drug discovery pipelines is advantageous
  • PhD in bioengineering, computational biology, neuroscience, cell biology, or related discipline

What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
About us
The Nick Gilbert Neurofibromatosis Research Institute (NGNRI) is a nonprofit organization focused on developing treatments and cures for Neurofibromatosis type 1 (NF1) and other neurological disorders and cancers with significant unmet need. Backed by the Gilbert Family Foundation and created in partnership with Michigan State University (MSU) and Henry Ford Health (HFH), NGNRI brings together leading scientific and clinical expertise to accelerate translational discovery.
Located within a new, state-of-the-art research facility in midtown Detroit, NGNRI offers a highly collaborative environment alongside MSU and HFH. The institute is equipped with advanced platforms-including organoid and stem cell models, AI-driven analysis, FACS, and CRISPR technologies-and provides access to extensive shared core facilities.
NGNRI supports both in-house researchers and visiting scientists, creating a dynamic, mission-driven ecosystem designed to advance innovation and deliver impact in an underserved field. As part of Detroit's rapidly growing medical research campus, NGNRI offers a unique opportunity to contribute to cutting-edge science within a vibrant and expanding hub.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.

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