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Volunteer Computational Neuroscience Jobs (NOW HIRING)

Systems Engineer

Lexington, MA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core ... computational modeling, hardware and software prototyping, model-based systems engineering, and ...

Systems Engineer

Lexington, MA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core ... computational modeling, hardware and software prototyping, model-based systems engineering, and ...

Postdoctoral Associate

Piscataway, NJ · On-site

$20K/wk

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred ... Solid background in signal processing, statistics, or computational neuroscience, preferred.

Lab Assistant

Piscataway, NJ · On-site

$20.28/hr

  • Medical

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  • Retirement

  • PTO

Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred ... Bachelor's degree in neuroscience, biological sciences, molecular biology, data science, statistics ...

Showing results 21-40

Volunteer Computational Neuroscience information

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$35.5K

$107.6K

$117.5K

How much do volunteer computational neuroscience jobs pay per year?

As of Aug 16, 2026, the average yearly pay for volunteer computational neuroscience in the United States is $107,582.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a volunteer computational neuroscientist?

Volunteer computational neuroscientists are individuals who contribute their time and expertise to research projects in computational neuroscience without monetary compensation. They often assist with tasks such as data analysis, computer modeling, or developing algorithms to better understand the brain and nervous system. Volunteers may be students, professionals, or enthusiasts who collaborate with academic labs, research institutions, or open science initiatives. Their work supports scientific discovery while allowing them to gain valuable experience and contribute to the field.

What do volunteer computational neuroscientists do?

As a volunteer in computational neuroscience, you may assist with data analysis, modeling neural circuits, or developing algorithms to interpret experimental results. Tasks often include organizing and preprocessing large datasets, running simulations, and collaborating with researchers to test hypotheses. Your contributions help advance research by providing critical support in handling complex computations and enabling scientists to draw meaningful conclusions from their experiments. Working closely with experienced neuroscientists and computational experts, you'll gain valuable insights into both theoretical and practical aspects of the field.

What skills and qualifications are needed to thrive as a volunteer computational neuroscientist?

To thrive as a Volunteer in Computational Neuroscience, you need a solid background in neuroscience, mathematics, and programming, often supported by coursework or research experience in these fields. Familiarity with programming languages like Python or MATLAB, and experience with neural data analysis tools and computational modeling software, are commonly required. Strong analytical thinking, curiosity, and effective communication are standout soft skills in this role. These skills and qualities are vital for contributing meaningful insights to research projects and collaborating efficiently in multidisciplinary teams.

What is the difference between Volunteer Computational Neuroscience vs Volunteer Data Analyst?

AspectVolunteer Computational NeuroscienceVolunteer Data Analyst
Required CredentialsBasic knowledge of neuroscience, programming skillsStatistical and analytical skills, proficiency in data tools
Work EnvironmentResearch labs, academic institutions, nonprofit organizationsVarious sectors including healthcare, finance, research
Employer & Industry UsageResearch projects focused on brain function and neural dataInterpreting data to inform decisions across industries

Volunteer Computational Neuroscience involves analyzing neural data and understanding brain functions, often requiring programming skills and neuroscience knowledge. Volunteer Data Analysts focus on interpreting data sets across various fields, emphasizing statistical skills. While both roles involve data analysis, Volunteer Computational Neuroscience is specialized in neuroscience research, whereas Volunteer Data Analysts work across multiple industries.

How to get into Volunteer Computational Neuroscience?

To get into volunteer computational neuroscience, gain a strong foundation in neuroscience and programming skills, particularly in languages like Python or MATLAB. Seek opportunities through research labs, academic institutions, or online platforms that offer volunteer or internship roles, and consider contributing to open-source projects or datasets to build relevant experience.

What can I do with a volunteer computational neuroscience degree?

A volunteer computational neuroscience degree can prepare you for roles such as research assistant, data analyst, or software developer in neuroscience projects. Skills in programming, data analysis, and understanding neural systems are valuable, and experience with tools like MATLAB or Python can enhance job prospects in academic, healthcare, or tech environments.
More about Volunteer Computational Neuroscience jobs

What cities are hiring for Volunteer Computational Neuroscience jobs?

Cities with the most Volunteer Computational Neuroscience job openings:

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

The most popular types of Computational Neuroscience jobs are:

What states have the most Volunteer Computational Neuroscience jobs?

States with the most job openings for Volunteer Computational Neuroscience jobs include:

Infographic showing various Volunteer Computational Neuroscience job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $107,582 per year, or $51.7 per hour.

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

46th of 618 rated colleges and universities


Job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
Job Description
The Human Health & Performance Systems group is seeking a Technical Staff member to support systems engineering efforts over a broad range of technology areas to address key stakeholder needs and further the Group's core human health & performance mission areas. Example problems include modeling and integrating medical technologies to support advanced field-forward care concepts; and system architecture development for human physiological, cognitive, and psychological performance monitoring systems to support specific mission scenarios. This often includes the development of models and simulations in coordination with stakeholder communities to incorporate operational constraints, requirements, and concepts of operation. The staff member may also support the design, prototyping, integration, and field testing of prototype health & performance systems. Also participate in and eventually lead system engineering projects related to neurocognitive systems, medical operations systems, and other complex human systems. Development of these systems could involve complex socio-technical systems modeling, mechanistic neurocognitive modeling, and computational modeling.
Staff members work in a team environment to study a broad range of technical questions of importance to human health & performance. Systems engineering activities include developing, flowing down and tracking requirements, architecting systems, interface specification, planning and leading verification and validation activities, and identifying risks and defining risk mitigation strategies. Model Based System Engineering will be applied to both traditional system engineering processes and in support of system analysis problems.
Requirements
Ph.D. in Physics, Mechanical, Electrical, Industrial, or Biomedical Engineering, or related scientific field, or equivalent experience in systems engineering.
In lieu of a Ph.D., a master's degree with 5+ years of directly related experience will be considered.
Demonstrated skills in scientific writing and/or development and presentation of technical materials to varied audiences including the ability to clearly present concepts to a wide spectrum of audiences are required.
The ability to scope and support the necessary systems engineering activities for multiple types of prototype and R&D programs is required.
The ability to use systems perspective and systems analysis techniques to identify mission-critical human health and performance gaps and areas of needed technology development is required.
Demonstrated experience with Model-Based Systems Engineering (MBSE) tools is strongly preferred.
Recent Graduate Hiring Range: $145,200 - $170,000
Experienced Hiring Range: $145,200 - $220,000
Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.
At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include:
  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.
Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.
MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.
Requisition ID: 42870

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