1

Cognitive Science Jobs in Boston, MA (NOW HIRING)

Postdoctoral Research Associate

Boston, MA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Researchers must possess a doctoral degree in Psychology, Education, Cognitive Science, Neuroscience, or a related field. GENERAL SUMMARY Performs basic or applied research of a limited scope ...

Showing results 21-40

Cognitive Science information

See Boston, MA salary details

$24.7K

$60.4K

$80.5K

How much do cognitive science jobs pay per year?

As of Aug 15, 2026, the average yearly pay for cognitive science in Boston, MA is $60,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $65,200.00 per year, depending on experience, location, and employer.

What jobs do cognitive science majors get?

Cognitive science majors often pursue careers as user experience designers, cognitive researchers, data analysts, human factors specialists, and artificial intelligence developers. These roles typically require skills in research, programming, and understanding human behavior, and may involve working in technology, healthcare, or academia.

Is cognitive science a useful degree?

A degree in cognitive science provides a strong foundation in understanding human cognition, perception, and decision-making, which are valuable in fields like artificial intelligence, user experience, and research. Graduates often find employment in tech, healthcare, education, and research institutions, and the interdisciplinary skills gained can enhance problem-solving and analytical abilities.

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 does a cognitive scientist do?

A cognitive scientist studies how the mind processes information, including perception, memory, language, and decision-making. They often conduct experiments, analyze data, and develop models using tools like computer simulations and statistical software to understand human and animal cognition.

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.

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.

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 data analysis. Professionals with skills in research, programming, and understanding of cognitive processes are sought after in academia, tech companies, and healthcare sectors.

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

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

Infographic showing various Cognitive Science job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 19% Part Time, and 5% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $60,396 per year, or $29 per hour.

Group 2-24 | Co-Op | Biomedical & Physiological Signal Processin with Security Clearance

MIT Lincoln Laboratory

Lexington, MA • On-site

$21.50 - $25/hr

Other

Posted 29 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. Position Description Our team is looking for a Co-Op student with an interest in solving challenging AI/ML problems using biomedical signal processing and wearable technology. Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians to prepare and process large biomedical and physiological datasets (e.g.,PPG, accelerometry, EOG, EEG, commercial-off-the-shelf wearable data, etc), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced prediction and inference of physiological status (i.e. fatigue, illness, stress, etc). We are looking for students who are self-motivated and interested in signal processing, machine learning, deep learning, statistical pattern recognition, and high-performance computing. Requirements/Skills * The candidate is a student in a B.S., M.S., or Ph.D. program in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree. * Experience with Python, MATLAB and machine learning (coursework or practical) Preferred (not required) * Biomedical signal processing and/or time series analysis experience * Experience with Python and deep learning libraries like: Pytorch, JAX, and/or keras * Interest in AI meta-learning, foundation models / self-supervised learning, continual learning, one-shot and/or transfer learning Compensation for 2026 * Technical Co-Op: $24.50 - $31.00 per hour (based on year in school) * Administrative Co-Op: $21.50 - $25.00 per hour (based on year in school) 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.