ZipRecruiter

Log In

2

Remote Cognitive Science Research Jobs in Utah (NOW HIRING)

micro1 AI

AI Training Specialist - Life Sciences

Provo, UT · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

Bread Financial

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

... data science needs, as well as enhancing the team's industry competence through research in ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

previous page

Showing results 41-60

All JobsCognitive Science Research JobsRemote Cognitive Science Research JobsRemote Cognitive Science Research Jobs in Utah

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 Utah?

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

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

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

What job categories do people searching Remote Cognitive Science Research jobs in Utah look for?

The top searched job categories for Remote Cognitive Science Research jobs in Utah are:

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

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

Remote Cognitive Science Research jobs near you
Infographic showing various Remote Cognitive Science Research job openings in Utah as of August 2026, with employment types broken down into 83% Full Time, 11% Part Time, and 6% Contract. Highlights an 100% Remote job distribution.

Senior Scientific Reviewer - Physics

micro1 AI

Salt Lake City, UT • On-site, Remote

$80 - $150/hr

Part-time

Posted 14 days ago

Job description

Role Title: Physics Expert (Postdoc / Junior professor)


Role Type: Contractor


Location: Remote (US, Canada, UK focused)


micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms.
  2. Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology.
  3. Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback.
  4. Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement.
  5. Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument.
  6. Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate.
  7. Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes.


Preferred Qualifications

  1. PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials).
  2. Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist.
  3. Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links.
  4. Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation.
  5. Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars.
  6. Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor.
  7. Reliable access to high-speed internet and a computer suitable for rigorous technical work.

Apply