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Internship Cognitive Science Research Jobs (NOW HIRING)

$99K - $175K/yr

The Cognitive Science Engineer supports innovative research, advanced technology development, and the integration of emerging AI and machinelearning capabilities across missionfocused programs. This ...

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Internship Cognitive Science Research information

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How much do internship cognitive science research jobs pay per month?

As of Sep 9, 2026, the average monthly pay for internship cognitive science research in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What is an internship cognitive science research?

Internship cognitive science research positions are temporary roles, typically for students or recent graduates, that provide hands-on experience in the field of cognitive science. Interns assist with research projects, data collection, literature reviews, and sometimes experimental design under the supervision of experienced researchers. These internships help participants gain practical skills, explore career paths in psychology, neuroscience, artificial intelligence, or related areas, and build a professional network. They are often offered by universities, research labs, or technology companies with a focus on understanding human cognition.

What kinds of projects or research topics do interns typically work on in a cognitive science research internship?

Interns in Cognitive Science Research often contribute to projects involving data collection and analysis, literature reviews, and experimental design related to human cognition, perception, or behavior. Depending on the focus of the lab, you might work with technologies such as EEG, eye-tracking, or computational modeling. Interns frequently collaborate with graduate students, postdocs, and faculty, gaining exposure to interdisciplinary methods spanning psychology, neuroscience, linguistics, and computer science. This hands-on experience helps interns develop practical research skills and can lead to opportunities for presenting or publishing findings.

What are the key skills and qualifications needed to thrive as an internship cognitive science researcher, and why are they important?

To excel as an Internship Cognitive Science Researcher, you generally need a strong academic background in cognitive science, psychology, neuroscience, or a related field, with foundational knowledge in research methods and data analysis. Familiarity with statistical software (such as SPSS, R, or Python), experimental design platforms, and sometimes programming experience are commonly required. Critical thinking, curiosity, and effective communication are vital soft skills that enable collaboration and innovation in research settings. These competencies are essential for conducting rigorous studies, analyzing complex data, and contributing valuable insights to cognitive science research projects.

What is the difference between Internship Cognitive Science Research vs Cognitive Science Research Assistant?

AspectInternship Cognitive Science ResearchCognitive Science Research Assistant
Required CredentialsUndergraduate student, relevant courseworkBachelor's degree, research experience often preferred
Work EnvironmentAcademic labs, research projects, supervised internshipUniversity labs, research teams, often more independent
Employer & Industry UsageUniversities, research institutes, industry internshipsUniversities, research centers, sometimes industry
Common Search & ComparisonInternship roles for students exploring cognitive scienceEntry-level research support roles in cognitive science

Internship Cognitive Science Research positions are typically designed for undergraduate students gaining initial research experience, often in academic or industry internship settings. Cognitive Science Research Assistants usually hold a bachelor's degree and assist with ongoing research projects within university labs or research centers. While both roles involve supporting cognitive science research, internships focus on learning and exploration, whereas research assistant roles involve more hands-on research responsibilities.

What cities are hiring for Internship Cognitive Science Research jobs?

Cities with the most Internship Cognitive Science Research job openings:

What are the most commonly searched types of Cognitive Science Research jobs?

The most popular types of Cognitive Science Research jobs are:

What states have the most Internship Cognitive Science Research jobs?

States with the most job openings for Internship Cognitive Science Research jobs include:

What are popular job titles related to Internship Cognitive Science Research jobs?

For Internship Cognitive Science Research jobs, the most frequently searched job titles are:

Deputy Director, NLM Lister Hill National Center for Biomedical Communications

Bethesda, MD • On-site

$150 - $200/hr

Other

Posted 10 days ago


Key responsibilities

  • Provide strategic and operational guidance to LHNCBC branch chiefs and staff, including overseeing reorganization and modernization of technology product development activities.

  • Coordinate and assess research technology, product transitions to real-world environments, and facilitate transfer of research activities to improve health and healthcare.

  • Develop assessment criteria for project reviews, identify new programmatic opportunities, and oversee the expanding portfolio of projects.


Job description

Deputy Director, NLM Lister Hill National Center for Biomedical Communications

Deadline: September 25, 2026

The NIHNational Library of Medicine’s Lister Hill National Center for Biomedical Communications (LHNCBC) is looking for aDeputy Director to share responsibility with the Director for overall program development, program evaluation, policy formulation, direction, and coordination of all LHNCBC activities. In addition, the Deputy Director will serve in a key leadership role in assisting the LHNCBC Director in overseeing the diverse scientific and technical staff. Specifically, the Deputy Director will be responsible for the following in coordination with the Director:

  • Providing strategic and operational guidance to the LHNCBC branch chiefs and staff within the Office of the Director including:
    • Reorganization and modernization of the technology product development activities, and assessment of processes supporting them, in the recently reorganized and refocused Applied Clinical Informatics Branch (ACIB).
    • Coordination and assessment of research technology, as well as product transitions to real-world production environments. Facilitating the transfer of research activities to improve health and health care through methodological advances in clinical informatics.
    • Research, assessment, and production activities of the Scientific Computing Branch (SCB) to design, develop, and maintain leading-edge, cost-effective computational infrastructure and computing resources that support research and development across all LHNCBC activities, as well as the NLM Intramural Research Program.
  • Developing assessment criteria to support project reviews of projects, identify new programmatic opportunities, and provide oversight for LHNBC’s expanding portfolio of new and continuing projects,
  • Ensuring that appropriate administrative and scientific computing support is available to scientists,
  • Establishing LHNCBC organizational goals and assessing progress toward strategic objectives,
  • Directing the LHNCBC financial budget of $14 million and overseeing about 70 staff

In addition, the LHNCBC is executing a reorganization to modernize its longstanding mission as a research and development center to better reflect the evolution of biomedical communications as relying on interoperable data, scalable methods, and translation of research discoveries into operations. The reorganization also spotlights the fact that the future of LHNCBC will be centered around leveraging clinical data in biomedical research and translational science, with the accompanying need for continuous technological improvements to provide staff the resources they will need to do this work.

A process is underway to establish a long‑term vision and roadmap for LHNCBC. A Deputy Director with a well‑rounded background in technology, research, and product assessment is needed to support this process. Another important role of the Deputy Director will be to assist in the recruitment, development and retention of the LHNCBC leadership team, of which some positions are currently in acting capacity.

About theLHNCBC

The LHNCBCwas established by the United States Congress in 1968, to further biomedicine through data science research and application product development. The LHNCBC consists of the Immediate Office of the Director and two branches: the Scientific Computing Branch (SCB) and Applied Clinical Informatics Branch (ACIB). The LHNCBC has an operating budget of $14 million and human resources support of approximately 70 personnel. LHNCBC personnel include a diverse mix of scientific and technical staff consisting of federal employees, contractors, fellows, and special volunteers who have backgrounds in medicine, biomedical informatics, clinical informatics, imaging, computer science, data science, library and information sciences, linguistics, cognitive science, scientific computing, cloud computing, and engineering.

About the LHNCBC Deputy Director Position

The Deputy Director will be appointed into a position in theSenior Biomedical Research and Biomedical Product Assessment Service (SBRBPAS) (external link) . Candidates for this position must haveoutstandingand broad expertise in program administration, software development and deployment, and scientific computing as they relate to the fields of biomedical and clinical informatics. The position serves as a senior technical leader of NLM who collaborates across NLM, NIH, and the broader research community by providing expert advice and consultation on clinical and biomedical informatics. The position oversees design and implementation of programs supporting NLM and NIH intramural research that provide development of methods to gain insights from large health databases while learning the strengths and weaknesses of datasets and improving them, when possible; development and evaluation of computer algorithms for automated text analysis; and, data science research in biomedical image and signal processing, artificial intelligence, and machine learning to support automated clinical decision‑making. Candidates should be customer‑focused, service oriented, and have experience in working in a biomedical research environment. Outstanding communication skills and a collaborative work style are critical. This is a full-time leadership position located at NIH facilities at the Bethesda, Maryland area campus.

Standards of Conduct/Financial Disclosure

If selected, you will be required to complete a Confidential Financial Disclosure Report, OGE Form 450 to determine if a conflict or an appearance of a conflict exists between your financial interest and your prospective position with the agency.

This position has an education requirement. You are strongly encouraged to submit a copy of your transcripts (or a list of your courses including titles, credit hours completed and grades). Unofficial transcripts will be accepted in the application package. Official transcripts will be required from all selectees prior to receiving an official offer. Learn more about Foreign Education (external link) .

Reasonable Accommodation

You can request a reasonable accommodation at any time during the application or hiring process or while on the job. Requests are considered on a case‑by‑case basis.

This page was last updated on Tuesday, August 18, 2026

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