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Computer Science Neuroscience Jobs in Boston, MA

Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core ...

Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core ...

Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core ...

... hypertension, neuroscience, and infectious disease. Our goal is to help people live longer ... A Ph.D. degree in quantitative discipline (e.g., computer science, electrical and computer ...

Postdoctoral Fellow

Cambridge, MA ยท On-site

$67K - $80K/yr

D. in Neuroscience, Molecular Biology, Genetics, Computer Science, or other relevant scientific discipline is required. 2. Basic understanding of molecular biology and next generation sequencing is ...

... hypertension, neuroscience, and infectious disease. Our goal is to help people live longer ... A Ph.D. degree in a quantitative discipline (e.g., computer science, electrical and computer ...

Showing results 21-40

Computer Science Neuroscience information

See Boston, MA salary details

$21.9K

$74.5K

$157.4K

How much do computer science neuroscience jobs pay per year?

As of Aug 7, 2026, the average yearly pay for computer science neuroscience in Boston, MA is $74,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,566.00 and $101,697.00 per year, depending on experience, location, and employer.

What is a computer science neuroscience?

A Computer Science Neuroscience job involves applying computational techniques to understand the brain and develop neurotechnology. Professionals in this field work on brain-computer interfaces, machine learning models for neuroscience, and neural data analysis. They may contribute to fields like artificial intelligence, cognitive computing, medical imaging, and neuroprosthetics. This interdisciplinary role is common in research labs, healthcare, and tech companies focused on AI and neuroscience applications.

Is computer science good for neuroscience?

Computer science is highly valuable for neuroscience, as it provides skills in programming, data analysis, and modeling that are essential for understanding complex neural systems. Many neuroscience roles involve developing algorithms, using machine learning, and working with large datasets, making computer science expertise a strong asset in the field.

What are the key skills and qualifications needed to thrive in computer science neuroscience, and why are they important?

To thrive in a Computer Science Neuroscience role, you need a strong background in both programming (such as Python, MATLAB, or R) and neuroscience concepts, often supported by an advanced degree in a relevant field. Experience with data analysis tools, neuroimaging software (like fMRI or EEG platforms), and machine learning libraries is highly valued. Critical thinking, problem-solving abilities, and strong interdisciplinary communication are important soft skills for success in this space. These competencies enable professionals to bridge the gap between technology and brain science, driving innovation in research and applied settings.

What jobs does computer science neuroscience have?

Computer science neuroscience graduates can pursue roles such as computational neuroscientist, neuroinformatics specialist, machine learning engineer for brain data, or research scientist in cognitive computing. These jobs often require skills in programming, data analysis, and understanding of neural systems, and may involve working in research labs, tech companies, or healthcare settings.

What types of projects or research might I work on in a computer science neuroscience role?

In a Computer Science Neuroscience position, you could be involved in projects such as developing algorithms for analyzing neural data, implementing machine learning models to predict cognitive states, or building software tools for brain imaging analysis. Many roles also involve collaborating closely with neuroscientists, physicians, and engineers to design experiments and interpret complex datasets. The work is often highly interdisciplinary, blending computational innovation with fundamental scientific discovery. Depending on the organization, you may participate in academic research, clinical studies, or the development of neurotechnology products. This makes for a dynamic work environment with opportunities to contribute to cutting-edge advancements in brain science.

What job categories do people searching Computer Science Neuroscience jobs in Boston, MA look for? The top searched job categories for Computer Science Neuroscience jobs in Boston, MA are:
What cities near Boston, MA are hiring for Computer Science Neuroscience jobs? Cities near Boston, MA with the most Computer Science Neuroscience job openings:
Infographic showing various Computer Science Neuroscience job openings in Boston, MA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 12% Part Time, and 9% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $74,468 per year, or $35.8 per hour.

Software Architect with Security Clearance

MIT Lincoln Laboratory

Lexington, MA โ€ข On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 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