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Remote Cognitive Science Intern Jobs in Michigan

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Remote Cognitive Science Intern information

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

To thrive as a Remote Cognitive Science Intern, you typically need a foundational understanding of cognitive science principles, strong research skills, and enrollment in or completion of a relevant academic program. Familiarity with data analysis software (such as Python, R, or SPSS), literature review tools, and remote collaboration platforms is often required. Strong written communication, self-motivation, and adaptability are critical soft skills for excelling in a virtual research environment. These skills ensure interns can contribute effectively to research projects, communicate findings clearly, and remain productive while working independently.

What are some common challenges faced by remote cognitive science interns and how can they be overcome?

Remote cognitive science interns often encounter challenges such as coordinating with team members across different time zones, staying motivated without in-person supervision, and accessing proprietary research tools or datasets remotely. To address these, successful interns proactively schedule regular check-ins with mentors, utilize project management tools for collaboration, and make use of secure remote access solutions provided by their organization. Building a structured daily routine and actively participating in virtual meetings can also help foster engagement and professional growth.

What is the difference between Remote Cognitive Science Intern vs Data Analyst Intern?

AspectRemote Cognitive Science InternData Analyst Intern
Required CredentialsRelevant coursework in cognitive science, psychology, or neuroscience; basic programming skillsStatistics, data analysis, or related coursework; proficiency in Excel, SQL, or Python
Work EnvironmentRemote, research-focused projects, interdisciplinary teamsRemote or in-office, data-driven projects, collaboration with data teams
Industry UsageResearch institutions, tech companies, healthcareTech firms, finance, marketing, healthcare
Common Search/ComparisonYesNo

The Remote Cognitive Science Intern typically focuses on research and understanding human cognition, often requiring knowledge of psychology and neuroscience. In contrast, a Data Analyst Intern concentrates on analyzing data sets to derive insights, requiring skills in statistics and data tools. While both roles may be remote and involve collaboration, their core responsibilities and required skills differ significantly.

What is a Remote Cognitive Science Intern?

A Remote Cognitive Science Intern is a student or recent graduate who works virtually with a research team or company to assist in projects related to cognitive science. This interdisciplinary field studies how people think, learn, remember, and perceive, often combining psychology, neuroscience, computer science, and linguistics. As a remote intern, you may analyze data, review research literature, assist in experiments, or even help develop software tools, all from a remote location. This opportunity allows you to gain valuable experience and skills in cognitive science without needing to be physically present at an office or lab.
What are popular job titles related to Remote Cognitive Science Intern jobs in Michigan? For Remote Cognitive Science Intern jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Remote Cognitive Science Intern jobs in Michigan look for? The top searched job categories for Remote Cognitive Science Intern jobs in Michigan are:
What cities in Michigan are hiring for Remote Cognitive Science Intern jobs? Cities in Michigan with the most Remote Cognitive Science Intern job openings:
Remote Cognitive Science Intern jobs near you
Infographic showing various Remote Cognitive Science Intern job openings in Michigan as of June 2026, with employment types broken down into 1% Internship, 83% Full Time, and 16% Part Time. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution.
Contingent Summer Research Analyst Intern

Contingent Summer Research Analyst Intern

Arbor Research Collaborative for Health

Ann Arbor, MI • Remote

$27/hr

Full-time

Posted 18 days ago

Job description

About the Project

The CKD study uses 5 years of structured EHR data from a large private nephrology practice with over 50,000 patients. The study aims to:

  • Build standardized, analysis-ready analytic files (SAFs) spanning 2021–2025
  • Assess feasibility of longitudinal data elements (labs, prescriptions, disease history)
  • Characterize CD patients using contemporary clinical and treatment data
  • Evaluate the availability of specific variables (imaging, genetics, family history) in unstructured clinical records

The intern will be embedded in an active project team that includes biostatisticians, epidemiologists, data scientists, and clinical nephrologists, and will contribute to analytic work from day one.

Key Responsibilities
  • Contribute to construction and QC of longitudinal electronic health record (EHR) analytic files using structured data
  • Conduct descriptive analyses of patient demographics, lab values, medication use, and clinical characteristics
  • Summarize data availability, follow-up patterns, and measurement frequency across CKD subgroups
  • Support feasibility assessments by generating counts, proportions, and distributional summaries
  • Produce clean, well-documented analytic code and contribute to draft tables and figures
  • Participate in biweekly internal team meetings and client meetings, and contribute to written deliverables
Qualifications

Required:

  • Currently enrolled in a graduate program (MPH, MS, PhD, or equivalent) in biostatistics, epidemiology, data science, health informatics, or a related field
  • Proficiency in Python, R, or SAS for data manipulation and descriptive analysis
  • Comfort working with big data – large, messy, real-world datasets
  • Strong attention to detail and ability to write clean, reproducible, well-commented code
  • Ability to work independently with remote supervision
  • Comfort using AI-assisted coding tools (e.g., Claude, GitHub Copilot)

Preferred:

  • Familiarity with EHR data or claims-based data
  • Experience with longitudinal data structures (e.g., repeated lab measurements, time-to-event)
  • Experience with version control (Git)
Position Details
  • Duration: approximately July 1 – August 29, 2026 (flexible start; contingent on contract execution)
  • Hours: full-time (~40 hrs/week) or near full-time
  • Location: fully remote; no travel required
  • Compensation: paid internship (rate commensurate with experience)
  • Supervisor: Brian Bieber, MS, Research Scientist, Data Science
How to Apply

Submit a CV and a brief cover letter (1 page max) describing your relevant experience and availability. Applications will be reviewed on a rolling basis — early submission is strongly encouraged given the July start date.

Pay

$27 USD per hour

Apply