2

Remote Cognitive Science Research Jobs in Washington

Research Assistant

Suitland, MD · On-site +1

$57K - $75K/yr

This position is within the Behavioral Science Research Center (BSRC). The immediate goals of BSRC ... Assists researchers by taking notes of cognitive interviews, respondent debriefings, focus groups ...

Location Fully Remote; the selected candidate will work during DCG's core Eastern Standard Time ... Support and implement social science research tasks of moderate to high technical complexity

... Cognitive Science, Biopsychology, or a closely related scientific discipline. * A minimum of FIVE (5) years' experience of scientific expertise in neuroscience research and program management.

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

... science, computer science, operations research or other closely related other quantitative or ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Product Manager

Gaithersburg, MD · On-site +1

$115K - $130K/yr

... or research applications. This role is remote with a preference for local candidates. Join ATCC and be part of a team that supports the global scientific community with trusted, authenticated ...

next page

Showing results 1-20

Remote Cognitive Science Research information

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 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 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 Washington? The most popular types of Cognitive Science Research jobs in Washington are:
What cities in Washington are hiring for Remote Cognitive Science Research jobs? Cities in Washington with the most Remote Cognitive Science Research job openings:

Senior Cognitive Scientist

VivSoft Technologies LLC

Herndon, VA • On-site, Remote

$130K - $140K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 13 days ago


Job description

About Us:
VivSoft is an emerging technology company specializing in Cloud, Enterprise DevSecOps, AI, and Digital Customer Experience to drive mission-enabling digital transformation. We build mission-focused, scalable solutions through a diverse team of strategists, engineers, and designers experienced in high-performance software and AI factory accelerators. At VivSoft, you'll lead high-impact federal proposals that shape mission-critical solutions in cutting-edge fields like DevSecOps, AI, and Cloud technologies.
Job Summary:
We are seeking a highly skilled Senior Cognitive Scientist to lead research and development efforts focused on applying cognitive science principles to artificial intelligence within enterprise business applications. This role involves designing advanced approaches for learning representations from textual data to enhance information discovery and support human decision-making. The ideal candidate will have deep expertise in cognitive modeling, training design, and performance metrics, along with hands-on experience in AI, machine learning, and natural language processing.
Key Responsibilities:
  • Apply cognitive science principles to enable AI solutions in enterprise business applications.
  • Design and implement methods for learning representations from textual data to improve information retrieval and decision-making.
  • Lead R&D initiatives in training design, competency modeling, and cognitive performance metrics.
  • Identify cognitive training requirements and develop cognitive skills training programs.
  • Develop and validate metrics for assessing cognitive performance and competency models.
  • Collaborate with cross-functional teams to integrate cognitive science into AI-driven systems.
  • Contribute to all phases of software development, with emphasis on planning, analysis, testing, integration, documentation, and presentation.

Minimum Qualifications:
  • Minimum of five (5) years of relevant experience in cognitive science, AI, or related fields.
  • Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering, or a related discipline.
  • Experience with artificial intelligence, machine learning, natural language processing (NLP), knowledge discovery, data mining, and unstructured data analytics.
  • Proficiency in one or more programming languages, including but not limited to: Java, C/C++, or Python.
  • Experience with one or more of the following: NLP, text understanding, classification, pattern recognition, recommendation systems, targeting systems, or ranking systems.
  • Must possess IT-II Non-Critical Sensitive security clearance or Tier 3 (T3) at time of proposal submission.

Preferred Skills:
  • Strong research background in cognitive science and its application to AI.
  • Experience designing cognitive training programs and performance metrics.
  • Familiarity with enterprise AI applications and human-computer interaction.

Benefits:
  • Comprehensive Medical, Dental, and Visions Plans (Healthcare benefits are 100% employer-paid for employees only)
  • Life Insurance
  • Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
  • 401K Retirement Plan with employer match
  • Professional Development Training Reimbursement
  • Flexible/remote work schedules

Salary Range: $ 130,000- $ 140,000 annually