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Remote Cognitive Science Research Jobs in Reston, VA

DCG

Social Scientist

Washington, DC · Remote

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

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

... 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 ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

... 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 ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

... NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a ... Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

... NONE Remote Type Hybrid Time Type Full time Description & Requirements Elder Research Inc., a ... Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying ...

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All JobsCognitive Science Research JobsRemote Cognitive Science Research JobsRemote Cognitive Science Research Jobs in Reston, VA

Remote Cognitive Science Research information

What are the key skills and qualifications needed to thrive as a Remote Cognitive Science Researcher, and why are they important?

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 some 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 job categories do people searching Remote Cognitive Science Research jobs in Reston, VA look for? The top searched job categories for Remote Cognitive Science Research jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Cognitive Science Research jobs? Cities near Reston, VA 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 Reston, VA as of May 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.
Satellite Sensor Calibration and Data Quality Scientist / Engineer

Satellite Sensor Calibration and Data Quality Scientist / Engineer

Science and Technology Corporation (STC)

College Park, MD • On-site, Remote

$75K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

About Science and Technology Corporation (STC): STC is a science, sensors, and systems company founded in 1979. We continually expand our Earth and Space Sciences support capabilities to NASA, NOAA, DoD, and other Federal and State agencies. Our staff support many of the operational missions that monitor the heartbeat of our planet through a growing number of Earth Observing System of Systems platforms and direct field research.

We also research and investigate leading-edge observing technologies and assist in their integration into operations. Employment Category: Full-time/Exempt Location: Hybrid/College Park, MD & Remote Security Clearance: None Citizenship: US Citizen or Permanent Resident Salary: $75,000 - $110,000 Project Overview This role supports the National Oceanic and Atmospheric Administration (NOAA) satellite programs by ensuring the quality and reliability of data from Low Earth Orbiting (LEO) satellite sensors. The objective is to maintain and enhance the operational utility of Level 1b data products for critical applications such as numerical weather prediction (NWP) and space weather forecasting.

Job Summary We are seeking a highly skilled and motivated Scientist/Engineer to play a key role in the operational calibration and validation of sensors onboard NOAA's Low Earth Orbiting satellites. This individual will be responsible for the characterization, monitoring, and improvement of Level 1b data quality, anomaly investigation, and the development of innovative scientific methods to optimize sensor performance and data utility for critical weather and space weather services. Key Responsibilities Sensor Calibration and Data Quality Monitoring: Support NOAA operational calibration of sensors on Low Earth Orbiting satellites.

Characterize and monitor the signal-to-noise ratio, radiometric, spectral, and geospatial quality of Level 1b products. Develop and implement automated routines for routine data quality assessment and reporting. Anomaly Investigation and Mitigation: Investigate instrument anomalies, including those potentially caused by space weather events or radio frequency interference (RFI).

Propose and implement corrective actions, mitigations, or algorithm improvements to address detected anomalies. Algorithm Development and Technical Support: Provide advanced technical support to the satellite programs. Improve existing algorithms and Level 1 data quality through innovative scientific research and development.

Apply expertise in atmospheric science and remote sensing to ensure the data effectively supports numerical weather and space weather predictions. Collaboration and Communication: Collaborate effectively within a multidisciplinary team. Document technical procedures, findings, and algorithm changes clearly and concisely.

Present research results and technical updates at internal project reviews and relevant scientific conferences. Benefits: Paid Time Off Starting at 80 hrs/yr, 11 Federal holidays, and 56 hrs/yr Sick Leave 401K with up to 4% employer matching contribution Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability Flexible spending account Health savings account Tuition reimbursementPhD or MS in Atmospheric Science, Remote Sensing, or a related field with a strong focus on GNSS radio occultation data processing. 5+ years of related work experience in satellite sensor calibration, remote sensing data processing, or atmospheric science research.

Proficiency with data analysis software and programming languages (e.g., Fortran, C/C++, Python, or similar). Demonstrated expertise in atmospheric science research and a solid understanding of relevant concepts related to radio occultation and atmospheric profiling. Strong analytical and problem-solving skills, with the ability to critically assess complex scientific data and develop innovative solutions to challenges in GNSS radio occultation processing

Excellent communication and interpersonal skills, with the ability to work collaboratively in a multidisciplinary team environment. Desired Qualifications A track record of publishing research results in peer-reviewed journals and conferences related to GNSS radio occultation processing and atmospheric science.PhD or MS in Atmospheric Science, Remote Sensing, or a related field with a strong focus on GNSS radio occultation data processing. 5+ years of related work experience in satellite sensor calibration, remote sensing data processing, or atmospheric science research

Proficiency with data analysis software and programming languages (e.g., Fortran, C/C++, Python, or similar). Demonstrated expertise in atmospheric science research and a solid understanding of relevant concepts related to radio occultation and atmospheric profiling. Strong analytical and problem-solving skills, with the ability to critically assess complex scientific data and develop innovative solutions to challenges in GNSS radio occultation processing

Excellent communication and interpersonal skills, with the ability to work collaboratively in a multidisciplinary team environment. Desired Qualifications A track record of publishing research results in peer-reviewed journals and conferences related to GNSS radio occultation processing and atmospheric science.

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