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Cognitive Science Jobs in Boston, MA (NOW HIRING)

MMI

UX Architect

Boston, MA · On-site

Qualifications: -A Bachelor's Degree in HCI, Human Factors, Interaction Design, Cognitive/Experimental Psychology, Cognitive Science or related degree. Masters Degree or additional training a plus ...

MMI

UX Architect

Boston, MA · On-site

Qualifications: -A Bachelor's Degree in HCI, Human Factors, Interaction Design, Cognitive/Experimental Psychology, Cognitive Science or related degree. Masters Degree or additional training a plus ...

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All JobsCognitive Science JobsCognitive Science Jobs in Boston, MA

Cognitive Science information

See Boston, MA salary details

$25.5K

$62.4K

$83.1K

How much do cognitive science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for cognitive science in Boston, MA is $62,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,100.00 and $67,400.00 per year, depending on experience, location, and employer.

What is a cognitive science job?

A Cognitive Science job involves applying knowledge from psychology, neuroscience, artificial intelligence, philosophy, and linguistics to understand how humans and machines think, learn, and process information. Professionals in this field work in diverse industries, including technology, healthcare, research, and user experience design. Common roles include data scientist, UX researcher, AI specialist, and cognitive psychologist. These jobs often require analytical thinking, programming skills, and expertise in human behavior or machine learning.

What are the key skills and qualifications needed to thrive in a cognitive science position?

To thrive in a Cognitive Science role, you need a solid grounding in psychology, neuroscience, computer science, linguistics, and data analysis, usually supported by at least a bachelor's or master's degree in a related field. Familiarity with statistical analysis software (such as SPSS or R), programming languages (like Python or MATLAB), and research tools is highly advantageous. Outstanding collaboration, critical thinking, and clear communication skills set top candidates apart in multidisciplinary teams. These skills and qualifications enable professionals to analyze complex cognitive processes and contribute innovative solutions to real-world human-computer interaction, AI, or behavioral research challenges.

What are the typical career progression opportunities for someone in a cognitive science role?

Professionals in cognitive science often start in research assistant, data analyst, or user experience roles and can progress to positions such as lead researcher, UX researcher, cognitive engineer, or even project manager depending on their interests and expertise. With experience and additional qualifications, some transition into roles in artificial intelligence, human-computer interaction, neurotechnology, or higher education as professors or principal investigators. Opportunities for advancement are often influenced by your ability to publish research, collaborate across disciplines, and acquire advanced degrees or certifications. Many cognitive science professionals also find pathways into related industries including technology, healthcare, and education, allowing for diverse and rewarding career trajectories.

Is cognitive science a useful degree?

Cognitive science is a versatile degree that prepares graduates for careers in research, technology, healthcare, and user experience design by combining psychology, neuroscience, computer science, and linguistics. It develops skills in critical thinking, data analysis, and problem-solving, which are valuable across many industries. Job opportunities often require interdisciplinary knowledge and may benefit from programming skills or familiarity with AI tools.

Is cognitive science in demand?

Cognitive science is a growing interdisciplinary field with increasing demand in areas such as artificial intelligence, human-computer interaction, and user experience design. Professionals with skills in data analysis, programming, and understanding of cognitive processes are sought after in research, technology, and healthcare sectors.

What does a cognitive scientist do?

A cognitive scientist studies mental processes such as perception, memory, language, and decision-making by analyzing how the brain and mind work. They often conduct experiments, develop models, and use tools like neuroimaging to understand human cognition, working in research, academia, or applied settings. Strong analytical skills and knowledge of psychology, neuroscience, and computer science are essential for this role.

What are the most commonly searched types of Cognitive Science jobs in Boston, MA?

The most popular types of Cognitive Science jobs in Boston, MA are:

What are popular job titles related to Cognitive Science jobs in Boston, MA?

For Cognitive Science jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Cognitive Science jobs in Boston, MA look for?

The top searched job categories for Cognitive Science jobs in Boston, MA are:

What cities near Boston, MA are hiring for Cognitive Science jobs?

Cities near Boston, MA with the most Cognitive Science job openings:

Cognitive Science jobs near you
Infographic showing various Cognitive Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 77% Physical, 4% Hybrid, and 19% Remote job distribution, with an average salary of $62,374 per year, or $30 per hour.

Mechanical/Fabrication Design Engineer

Odyssey Systems LLC

Lexington, MA

$85K - $115K/yr

Full-time

Re-posted 7 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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