2

Remote Cognitive Science Research Jobs in California

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Perform independent research and fact-checking to validate technical information. * Annotate data ...

Millions of scientists, educators and students use JoVE for their research, teaching and learning ... Benefits * We're fully remote! * Comprehensive benefit plans including, medical, dental, vision ...

... Science teams. Work with Product and Engineering teams to streamline workflow of computational ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Showing results 21-40

Remote Cognitive Science Research information

What is remote cognitive science research?

Remote cognitive science research involves studying how people think, learn, and process information, but the work is conducted from a location outside of a traditional laboratory or office—often from home. Researchers use online tools to design experiments, collect data, and analyze results with participants who may be located anywhere in the world. This approach enables flexibility, broader access to study participants, and the ability to conduct large-scale studies efficiently. Remote cognitive science research is increasingly popular due to advancements in digital technology and the growing availability of online research platforms.

What skills and qualifications are needed to thrive as a remote cognitive science researcher?

To thrive as a Remote Cognitive Science Researcher, you typically need a strong background in psychology, neuroscience, or a related field, often supported by an advanced degree such as a Master's or PhD. Familiarity with data analysis software (e.g., SPSS, R, Python), experimental design tools, and academic databases is crucial. Strong written communication, self-motivation, and collaboration skills help researchers effectively share findings and coordinate with remote teams. These skills ensure rigorous research, accurate data interpretation, and productive teamwork, which are vital for advancing knowledge in cognitive science.

What are common challenges faced when conducting cognitive science research remotely, and how can they be addressed?

One common challenge in remote cognitive science research is maintaining effective communication and collaboration among team members, as researchers often work across different time zones and locations. Additionally, recruiting study participants and ensuring data quality can be more complex without in-person oversight. To address these issues, teams typically use collaborative tools like shared digital workspaces, regularly scheduled video meetings, and secure online platforms for data collection and management. Clear communication protocols and thorough documentation also help ensure that all team members stay aligned and that research standards are maintained.

What is the difference between Remote Cognitive Science Research vs Remote Data Analyst?

AspectRemote Cognitive Science ResearchRemote Data Analyst
Required CredentialsDegree in cognitive science, psychology, neuroscience, or related fieldsDegree in statistics, data science, computer science, or related fields
Work EnvironmentResearch labs, universities, or industry research teams, often collaborative and interdisciplinaryBusiness or tech companies, analyzing datasets remotely, often in a fast-paced environment
Industry UsageAcademia, research institutions, tech companies focusing on human cognitionFinance, marketing, tech firms, and healthcare sectors
Common Search & ComparisonYesNo

Remote Cognitive Science Research involves studying human cognition through experiments and analysis, often requiring a background in psychology or neuroscience. Remote Data Analysts focus on interpreting data sets to inform business decisions, typically with skills in statistics and data tools. While both roles involve data analysis, their focus, credentials, and work environments differ significantly.

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

The most popular types of Cognitive Science Research jobs in California are:

What are popular job titles related to Remote Cognitive Science Research jobs in California?

For Remote Cognitive Science Research jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Cognitive Science Research jobs?

Cities in California with the most Remote Cognitive Science Research job openings:

Infographic showing various Remote Cognitive Science Research job openings in California as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution.

Research Scholar (Postdoctoral Research Scholar)

Northern California Institute for Research and Education

San Francisco, CA • On-site, Remote

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Position Definition: Dr. Sabra Inslicht and the Stress, Trauma, and Resilience Program (STaR Lab) at the San Francisco VA Health Care System (SFVAHCS) are recruiting for a Postdoctoral Research Scholar in PTSD, trauma, sleep, and fear learning. This position has an expected duration of two years and is based at the SFVAHCS, is affiliated with University of California, San Francisco (UCSF) Department of Psychiatry and Behavioral Sciences, and is supported through Northern California Institute for Research and Education, Inc (NCIRE). The primary goal of this postdoctoral position is to train clinical and translational researchers (e.g., PhD psychologists/neuroscientists, MDs in psychiatry/neurology, or other allied health professionals) to become leading investigators in the areas of PTSD and trauma-related disorders, insomnia and sleep disturbance, traumatic brain injury (TBI), and mechanistic studies of fear learning and extinction. Over the course of the 2-year program, fellows will devote at least 75% of their time to research and educational activities (including didactics, seminars, and career development) and up to 25% to clinical training and/or other tailored professional development, depending on discipline and goals. Fellows will be responsible for driving innovative research projects while also gaining the skills needed to become independent investigators. The STaR Lab focuses on mechanism-informed, pharmacologically augmented psychotherapies and experimental paradigms of fear learning and extinction, including studies of orexin antagonists for PTSD and insomnia, remote and in-lab psychophysiology (e.g., fear conditioning, EDA, HR/HRV, EMG, facial coding, remote PPG), and sleep and cardiovascular risk in trauma-exposed populations, including women Veterans and other high-risk groups. Essential Functions - Training & Research Opportunities: The fellow will have the opportunity to collaborate with SFVA/UCSF investigators and participate in structured didactic sessions, career development seminars, and lab meetings across SFVA and UCSF. Under the primary mentorship of Dr. Sabra Inslicht (and co-mentors as appropriate), the postdoctoral scholar will:
  • Design and execute research studies focused on PTSD, trauma, sleep, and fear learning (e.g., augmented psychotherapy trials, orexin antagonist trials, experimental fear-conditioning and extinction paradigms, remote psychophysiology).
  • Lead data analysis efforts, integrating clinical, psychophysiological, and sleep-related measures.
  • Write manuscripts for peer-reviewed publications and develop presentations for national and international conferences.
  • Contribute to and increasingly lead grant development, including pilot grants, career development awards, and multi-site proposals.
  • For clinically trained fellows (e.g., clinical psychology, psychiatry, social work), engage in supervised clinical assessment and structured, manualized psychotherapy (e.g., exposure-based PTSD treatments) aligned with the fellow's training level and licensure trajectory.
Potential projects may focus on:
  • Pharmacologically augmented PTSD treatments, including trials combining evidence-based psychotherapies with medications that facilitate fear extinction or improve sleep.
  • Remote and in-lab fear conditioning and extinction paradigms using psychophysiological measures (EDA, EMG, HR/HRV, facial coding, remote PPG).
  • Insomnia and sleep disturbance in trauma-exposed populations, including women Veterans in the menopause transition.
  • Traumatic brain injury (TBI), PTSD, and sleep as interacting risk factors for functional outcomes and cardiometabolic health.
Qualifications:
  • Doctoral degree (e.g., PhD, PsyD, MD, or equivalent) in clinical psychology, neuroscience, psychiatry, public health, or a closely related field at the time of appointment.
  • Demonstrated research productivity, including peer-reviewed publications or strong evidence of publishable work.
  • Strong interest in PTSD and trauma-related disorders, sleep/insomnia, TBI, fear learning/fear extinction, psychophysiology, and/or mechanistically informed interventions.
  • Prior experience with clinical research, clinical trials, psychophysiology, sleep research, and/or trauma-exposed populations is highly desirable but not strictly required for outstanding candidates.
  • For clinically trained applicants (e.g., clinical psychology, psychiatry, social work), prior experience with clinical assessment and/or evidence-based psychotherapy for PTSD or related conditions is a plus.
  • Strong quantitative, analytic, and writing skills; experience with tools such as R, Python, or MATLAB is desirable.
  • Ability to work both independently and collaboratively within a multidisciplinary research team.
VA Onboarding Requirements: NCIRE is an affiliate organization of the San Francisco VA Health Care System (SFVAHCS), which requires all candidates to complete SFVA onboarding in addition to NCIRE's onboarding process. The SFVA is a federal agency that requires a federal background check, occupational health clearance, vaccines and immunizations, and drug testing for certain positions. Drug testing may include screening for marijuana which remains an illegal substance according to federal law. The failure to pass required drug testing will disqualify candidates from employment. The base wage range for this position is $68,640.00 - $79639.96 per year. The wage actually offered to a successful candidate will take into account various relevant and non-discriminatory business factors including, without limitation, the candidate's geographic location, job-related experience, knowledge, and skills, and education, as well as internal equity considerations. A successful candidate may also be eligible to earn additional compensation including bonuses. NCIRE is an Equal Opportunity Employer. This position requires access to United States Government research under the Veterans Administration. Per Veterans Administration regulations surrounding access to US research, qualified US Citizens will be selected over other individuals eligible to work in the United States. If you are eligible to work in the United States, you may still be considered for this position but only if no qualified US citizens apply. Application Instructions To apply, please complete your application in NCIRE's UltiPro system and email the following materials to Dr. Sabra Inslicht at sabra.inslicht@va.gov (with subject line: STaR Lab Postdoctoral Research Scholar Application):
  • Letter of interest detailing your research experience, interests, and long-term career goals
  • Curriculum vitae (CV)
  • One to two representative publications or manuscripts (published or in preparation)
  • Names and contact information for 3 references (letters may be requested at a later stage)
Applications will be reviewed on a rolling basis until the position is filled; for full consideration, candidates are encouraged to apply by December 1, 2025. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.