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Computer Science Neuroscience Jobs in Boston, MA

MIT Lincoln Laboratory

Software Architect

Lexington, MA · On-site

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

MIT Lincoln Laboratory

Software Architect

Lexington, MA · On-site

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

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All JobsComputer Science Neuroscience JobsComputer Science Neuroscience Jobs in Boston, MA

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 are popular job titles related to Computer Science Neuroscience jobs in Boston, MA? For Computer Science Neuroscience jobs in Boston, MA, the most frequently searched job titles are:
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:
Computer Science Neuroscience jobs near you
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.

Mechanical/Fabrication Design Engineer

Odyssey Systems LLC

Lexington, MA

$85K - $115K/yr

Full-time

Re-posted 21 days ago

Job description

The Human Health & Performance Systems Group focuses on objective, technology-based human-centered solutions to measure, model and modify cognitive and physiological function for enhancement, sustainment, or recovery. This goal is accomplished through three broad technical areas: health and resilience monitoring, trauma care, and performance enhancement. Research in all areas includes capability gap analysis, advanced sensing, machine learning and artificial intelligence algorithms, biologically-based modeling, prototyping, system integration, and field testing of systems to monitor the human state, predict outcomes, and intervene to improve health and performance.

Typical goals include increasing physical, cognitive and psychological performance and resilience of end-users in their operational environments; measuring, modeling, and modifying the brain to mitigate neurotrauma and neurodegeneration of end-users after exposure; and developing human-machine interfaces for enhanced end-user performance and communication within groups. This highly interdisciplinary group draws on skills from biology, physiology, cognitive science, neuroscience, psychology, biosignal processing, engineering, machine learning and artificial intelligence, computer science, physics, and medical research areas. Primary government sponsors and partners are in the Departments of Defense, Veterans Affairs, Homeland Security, NASA, the National Institutes of Health, and the National Science Foundation.

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