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Computer Science Neuroscience Jobs in Boston, MA

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Computer Science Neuroscience information

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$21.9K

$74.5K

$157.4K

How much do computer science neuroscience jobs pay per year?

As of Jul 13, 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.

How is computer science used in neuroscience?

Computer science in neuroscience involves developing algorithms, computational models, and data analysis tools to understand brain function and neural systems. It includes techniques like machine learning, data mining, and simulation to analyze large neural datasets and create models of neural activity, aiding in research and medical applications.

Is computer science needed for neuroscience?

For a career in neuroscience, especially roles involving computational neuroscience or neuroinformatics, computer science skills are highly valuable. Knowledge of programming, data analysis, and algorithms is often essential for modeling neural systems and analyzing large datasets. Many neuroscience positions require familiarity with programming languages like Python or MATLAB and understanding of computational methods.

What is a Computer Science Neuroscience job?

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.

What jobs can I get with just a neuroscience degree?

A neuroscience degree can qualify you for roles such as research assistant, clinical research coordinator, or neurotechnology technician, often requiring knowledge of laboratory techniques, data analysis, and programming tools like MATLAB or Python. These positions are common in healthcare, research institutions, and biotech companies, and may require additional certifications or training depending on the role. Entry-level jobs typically involve supporting research projects, data collection, or assisting with experiments in clinical or laboratory settings.

What are the key skills and qualifications needed to thrive in the Computer Science Neuroscience position, 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 can I do with a computational neuroscience degree?

A computational neuroscience degree prepares individuals for roles such as research scientist, data analyst, or software developer in neuroscience, artificial intelligence, or healthcare industries. Graduates often work with programming languages like Python or MATLAB, analyze neural data, develop models of brain function, or contribute to neurotechnology development.

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 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $74,468 per year, or $35.8 per hour.
Mechanical/Fabrication Design Engineer

Mechanical/Fabrication Design Engineer

Odyssey Systems LLC

Lexington, MA • On-site

$85K - $115K/yr

Other

Re-posted 26 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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