2

Remote Cognitive Science Research Jobs (NOW HIRING)

Biology Research Scientist Job Type: Contractor Location: Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced ...

Biology Research Scientist Job Type: Contractor Location: Remote Hours: 10-20 hours/week Duration: 1-2 months minimum, with likely extension Start: Immediate Job Overview We are seeking experienced ...

... research conducted under the supervision of the POTFF Program Manager/Coordinator or Government ... Sciences with a specialization in Sport Psychology, or a related degree with a performance ...

... Cognitive Science, Statistics, Computer Science, or a related field. * 6+ years of experience conducting consumer-focused UX research, preferably as an embedded researcher on a product team. * Deep ...

PhD with research or industry experience in biotechnology, pharmaceutical sciences, or drug ... Engagement Details * Remote independent contractor opportunity. * Immediate start available.

Ontologist

$117K - $140K/yr

... Science, Business Analytics, Cognitive Science, or a closely related field; OR a minimum of 11 ... Remote. Offsite. Working at SOSi All interested individuals will receive consideration and will not ...

Ontologist

$117K - $140K/yr

... Science, Business Analytics, Cognitive Science, or a closely related field; OR a minimum of 11 ... Remote. Offsite. Working at SOSi All interested individuals will receive consideration and will not ...

Showing results 41-60

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.

More about Remote Cognitive Science Research jobs

What cities are hiring for Remote Cognitive Science Research jobs?

Cities with the most Remote 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 Remote Cognitive Science Research jobs?

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

Infographic showing various Remote Cognitive Science Research job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 72% Full Time, 16% Part Time, and 4% Contract. Highlights an 100% Remote job distribution.

Biology Research Scientist - Remote

YO AI Labs

Seattle, WA • Remote

$50 - $70/hr

Full-time

Posted 13 days ago


Job description

Biology Research Scientist

Job Type: Contractor
Location: Remote
Hours: 10–20 hours/week
Duration: 1–2 months minimum, with likely extension
Start: Immediate

Job Overview

We are seeking experienced Biology Research Scientists to support a project focused on validating protein target assignments against primary scientific sources and UniProt records.

You will review research papers and patents, identify target assignment errors, propose corrected UniProt accessions, and provide concise, evidence-based scientific reasoning.

Key Responsibilities
  • Review primary research papers and patents to verify protein target assignments.
  • Compare target assignments against UniProt and identify discrepancies.
  • Classify target assignment errors using a structured taxonomy.
  • Propose accurate UniProt accessions where assignments are incorrect.
  • Document clear, concise, evidence-grounded reasoning for each determination.
  • Apply expertise in pharmacology, biochemistry, molecular biology, or chemical biology to evaluate target relationships.
Required Skills
  • Protein Target Identification
  • UniProt
  • Primary Literature Review
  • Protein Biochemistry
  • Molecular Biology
  • Pharmacology
  • Binding & Functional Assays
  • Scientific Data Interpretation
  • Evidence-Based Reasoning
  • Technical Documentation
Qualifications
  • BA/BS + 5 years, MS + 2 years, or PhD with relevant industry/drug discovery experience.
  • Background in pharmacology, biochemistry, molecular biology, or chemical biology within biotech, pharma, or CRO environments.
  • Hands-on experience with assays such as SPR, TR-FRET, radioligand binding, kinase assays, or GPCR functional assays.
  • Experience interpreting IC50, Ki, and Kd data.
  • Currently active in a bench-based research, scientist, or associate scientist role.
  • Working knowledge of UniProt or related workflows such as SAR, HTS, target validation, biochemical profiling, or IND-enabling studies.
Nice to Have
  • Experience with ChEMBL, BindingDB, or PubChem.
  • Selectivity profiling or counterscreening experience.
  • Understanding of agonist/antagonist vs. activator/inhibitor distinctions.
Screening Questions
  1. What is your highest relevant degree and how many years of industry research experience do you have?
  2. What is your experience with protein target identification and UniProt?
  3. Which binding or functional assays have you performed hands-on?
  4. Do you have experience interpreting IC50, Ki, or Kd data?
  5. Have you worked with ChEMBL, BindingDB, or PubChem?
  6. Are you currently bench-active in a research or scientist role?
  7. Are you available for 10–20 hours per week with an immediate start?