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Volunteer Computational Neuroscience Jobs (NOW HIRING)

MIT Lincoln Laboratory

Software Architect

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 ...

USC Gould School of Law

MRI Technologist

Los Angeles, CA

$36.35 - $57.56/hr

... computational and scientific approaches for the comprehensive mapping of brain structure and ... neurobiology. The Center for Image Acquisition (CIA) houses two of the most advanced MRI scanners ...

MIT Lincoln Laboratory

Software Architect

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 ...

Eli Lilly and Company

Director/Sr. Director

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with Biology, DMPK, Computational Chemistry, and other cross-functional ... volunteerism. We offer a competitive compensation and benefits package, a collaborative and ...

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All JobsVolunteer Computational Neuroscience Jobs

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 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.

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 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 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.

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.

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

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What states have the most Volunteer Computational Neuroscience jobs?

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Volunteer Computational Neuroscience jobs near you
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.

Software Architect

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

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

Our group is seeking highly motivated individuals to support software design, implementation, test, and deployment activities within a rapid prototyping environment. The candidate will work across different technical areas in a dynamic team-oriented development environment and will likely support multiple projects at one time. The position requires the ability to lead a team of software developers to design, implement, and test prototype software systems. The position requires the development and integration of sensor data and algorithms based on statistical modelling and machine learning techniques. The candidate should be well-organized, self-driven, creative, detail-oriented, and have strong verbal and written communication and teaming skills. Mentoring more junior staff members is expected. Documentation and presentation of work is required throughout the life-cycle of development efforts and may include the generation of flowcharts, diagrams, slides, and code documentation.

Candidates are expected to work onsite in Lexington, MA for at least 60% of their working time.

Requirements

 PhD or M.S. with 3 years of experience in computer science, computer engineering, or a related technical discipline

  • Experience in software architecture development
  • Experience in full-stack software development
  • Experience designing modular, extensible, and scalable microservice based architectures
  • Experience with data pipelines, and APIs
  • Experience in evaluating and selecting appropriate technologies and frameworks
  • Proficiency in Python and Java
  • Experience developing and deploying cloud-based software (AWS, Azure, etc.)
  • Development and utilization of continuous integration and deployment (CI/CD) architectures and DevSecOps best practices
  • Experience leading and participating in Agile development methodologies (Scrum, Kanban)
  • Experience creating, querying, and optimizing databases 
  • Basic knowledge of the Windows and Linux operating systems
  • Excellent written and oral communications skills in technical and non-technical environments

Desired Skills:

  • Working knowledge of Go, C#, JavaScript, C/C++, or Rust
  • Working knowledge of basic scripting languages (PowerShell, Bash, Perl, etc.)
  • Experience using generative AI to accelerate software development
  • Requirements development and user requirements elicitation experience
  • Program management experience
  • Experience with cloud-native services
  • Familiarity with basic machine learning processing and optimization techniques

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: 42960 

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