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Remote Entry Level Cognitive Science Jobs (NOW HIRING)

TEKsystems

Phonetician

Menlo Park, CA · On-site +1

$40 - $45/hr

... Cognitive Science. Preferably holding a Masters or PHD 3. Collaborative, proactive, accountable ... remote position. Application Deadline This position is anticipated to close on Sep 3, 2026. About ...

Sentara Healthcare

Care Coordinator

Winchester, VA

$18.75 - $25.25/hr

... remote telephonic assessments for members with Serious Mental Illnesses, Serious Emotional ... Cognitive Sciences -Community Mental Health Counseling (MH, Vocational, Pastoral, etc.) -Counselor ...

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Remote Entry Level Cognitive Science information

What is a remote entry level cognitive science job?

Remote entry level cognitive science jobs are positions that allow individuals with little or no prior professional experience in cognitive science to work from home or another remote location. These roles often involve tasks such as data analysis, research assistance, user experience research, or supporting projects related to human behavior, learning, or perception. Employers may look for candidates with a background in psychology, neuroscience, computer science, or related fields. Remote positions can be found in academia, tech companies, healthcare, and research organizations. These jobs offer valuable experience for those interested in pursuing advanced roles in cognitive science.

What does a remote entry level cognitive science professional do?

Remote entry-level cognitive science professionals often work on tasks such as data collection and analysis, literature reviews, designing experiments, and assisting with user research or behavioral studies. One common challenge is effective communication and collaboration with interdisciplinary teams, as projects may involve psychologists, computer scientists, and UX designers. Staying organized and proactive in a remote environment is important for meeting project deadlines and ensuring high-quality contributions. Additionally, professionals in this role frequently use digital collaboration tools and must be comfortable adapting to new technologies.

What are the key skills and qualifications needed to thrive as a remote entry level cognitive science professional?

To thrive in a Remote Entry Level Cognitive Science role, you typically need a bachelor's degree in cognitive science, psychology, neuroscience, or a related field, along with foundational knowledge in research methods and data analysis. Familiarity with statistical software (such as SPSS, R, or Python), survey tools, and collaborative platforms is often required. Strong analytical thinking, communication skills, and self-motivation are crucial soft skills for remote work and effective teamwork. These competencies enable you to contribute meaningful insights, collaborate efficiently across locations, and succeed in multidisciplinary research environments.
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The top searched job categories for Remote Entry Level Cognitive Science jobs are:

Remote Entry Level Cognitive Science jobs near you
Infographic showing various Remote Entry Level Cognitive Science job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 100% Remote job distribution.

Clinical Transformation Data Scientist, Remote

University of Maryland Medical System

Baltimore, MD • Remote

Full-time

Posted 9 days ago

Job description

Job Requirements

Join a leading academic medical center dedicated to advancing healthcare through innovation and data-driven insights. We are committed to transforming clinical care by leveraging cutting-edge analytics and fostering a culture of continuous improvement.

We are seeking a highly skilled Clinical Transformation Data Scientist to join our team in 2026. This role focuses on applying advanced data science techniques to healthcare data within an academic medical center setting. The ideal candidate will drive clinical transformation initiatives by developing predictive models, optimizing clinical workflows, and generating actionable insights that improve patient outcomes and operational efficiency.

Responsibilities:

  • Collaborate with multidisciplinary clinical and research teams to identify opportunities for data-driven clinical transformation. 
  • Develop, validate, and deploy machine learning models and advanced analytics solutions tailored to healthcare challenges. 
  • Analyze large, complex healthcare datasets including electronic health records (EHR), imaging, genomics, and patient-reported outcomes. 
  • Translate data insights into strategic recommendations to enhance clinical decision-making and patient care pathways. 
  • Support clinical trials and research projects by providing robust data analysis and visualization. 
  • Ensure compliance with healthcare regulations and data privacy standards in all data handling and analysis activities. 
  • Communicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and dashboards. 
  • Stay current with emerging data science methodologies, healthcare technologies, and industry best practices.

Work Experience

The ideal candidate will possess strong technical expertise in the latest data science technologies, applications, and software. This role requires hands-on experience with machine learning, artificial intelligence (AI), predictive modeling, and advanced analytics to drive clinical transformation initiatives. 

Education and Experience

  • Master's in Data Analysis field or a related field required. Doctoral preferred.
  • Three (3) years of Data Analytics and Database Management experience required
  • Clinical Background preferred
  • Developing and implementing machine learning models and AI-driven solutions to enhance clinical decision-making and operational efficiency. 
  • Utilizing predictive modeling and cognitive analytics to extract actionable insights from complex healthcare data. 
  • Collaborating with clinical and technical teams to translate data-driven insights into impactful clinical transformation strategies. 
  • Leveraging advanced Epic tools such as Cogito Cloud, Nebula, and Agent Factory to optimize data workflows and analytics processes. 
  • Maintaining up-to-date knowledge of emerging data science technologies and best practices in healthcare analytics. 

Knowledge, Skills and Abilities

  • Proven experience in data science with a focus on machine learning, AI, predictive modeling, and advanced analytics. 
  • Familiarity with AI and cognitive analytics is highly desirable. 
  • Experience working with advanced Epic tools (Cogito Cloud, Nebula, Agent Factory) is a strong plus. 
  • Epic certifications are highly preferred. 
  • Statistical analysis (experience with tools such as SAS, SPSS)
  • Experience using Tableau and/or Smartsheets software for data visualization
  • Excel expert including macros, visual basic
  • Advanced SQL, Excel and Vizient query languages and database design
  •  Metric quantitative and qualitative analysis
  •  Experience in data manipulation, transformation, scrubbing and imputation with acute attention to detail
  • Expert at identifying data anomalies
  • Ensures, analyzes and monitors data quality
  • Strong analytic and problem-solving skills
  • Strong writing and editing skills
  • Ability to plan work, set clear direction and coordinate projects in a multi-disciplinary environment
  •  Ability to work cooperatively and effectively with people from various organizational levels
  • Remains current with published literature in the fields of medicine, statistical analysis and healthcare operations
  • Change oriented and actively supports process improvement   

Employment Type: FULL_TIME

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