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Internship Remote Health Data Analyst Jobs in Evanston, IL

Alignerr

Population Health Informaticist

Chicago, IL · Remote

Remote * Commitment : 10-40 hours/week What You'll Do * Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy and quality * Apply your ...

Arsenault

Data Entry Specialist / Data Analyst

Chicago, IL · Remote

$17.50 - $23.50/hr

... in health care, ware house worker, delivery drivers, customer service, etc. We welcome all ... Our paid focus group members come from all backgrounds and industries including remote data entry ...

HTP Solutions

Financial Data Analyst

Oakbrook Terrace, IL · On-site +1

$58K - $65K/yr

In this role, you will analyze client spend data to identify policy violations, trends, sourcing ... Health insurance * Simple IRA with employer matching and immediate vesting * Paid time off ...

Alignerr

Health Policy & Management

Chicago, IL · Remote

$111.30K - $120K/yr

Proficiency in data analysis tools such as R, SAS, or Stata * Background in health communication ... Fully remote and async - work on your own schedule, from anywhere * Freelance perks: high autonomy ...

Turner & Townsend

Construction Data Analyst

Chicago, IL · On-site +1

$90K - $140K/yr

Analyze cost trends, issues and opportunities for a global data center portfolio. Projects are ... To support this we promote a healthy, productive and flexible working environment that respects ...

Graycor Inc.

Investment Analyst Internship

Chicago, IL · On-site +1

$950/wk

Data & Deal Flow Management: Help track deal flow and maintain accurate records in CRM databases ... Remote work options for certain positions * Potential to earn up to $950 in wellness incentives

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$11

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How much do internship remote health data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship remote health data analyst in Evanston, IL is $21.60, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.51 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Remote Health Data Analyst, and why are they important?

To thrive as an Internship Remote Health Data Analyst, you need foundational skills in data analysis, statistics, and familiarity with healthcare terminology, often supported by coursework in public health, informatics, or a related field. Proficiency with analytical tools like Excel, SQL, Python, or data visualization platforms, as well as experience using electronic health record (EHR) systems, is typically required. Strong attention to detail, problem-solving abilities, and clear communication skills help interns interpret data accurately and share insights with teams. These skills are crucial for ensuring data-driven decision-making and supporting healthcare organizations in improving patient outcomes.

What types of projects or datasets might I work with as a remote health data analyst intern?

As a remote health data analyst intern, you may work on projects involving electronic health records, clinical trial data, or public health datasets. These projects often include tasks such as cleaning and organizing raw data, performing statistical analyses, and creating visualizations to uncover trends or insights. You’ll likely collaborate with other data analysts, healthcare professionals, and IT staff to ensure data quality and relevance. This experience provides an excellent opportunity to apply academic knowledge to real-world health challenges and build valuable technical and teamwork skills.

What is a remote health data analyst internship?

A remote health data analyst internship is a temporary, often entry-level position where interns work from a remote location to analyze healthcare-related data. Interns in this role typically assist in collecting, cleaning, and interpreting health data to support research, policy decisions, or healthcare operations. The position provides hands-on experience with data analysis tools and methodologies specific to the healthcare industry, such as electronic health records, medical claims, and public health data. This internship is ideal for students or recent graduates interested in combining data analytics with healthcare. Remote internships offer flexibility and the opportunity to work with organizations regardless of geographic location.

What is the difference between Internship Remote Health Data Analyst vs Remote Health Data Coordinator?

AspectInternship Remote Health Data AnalystRemote Health Data Coordinator
CredentialsTypically pursuing or recent graduate in health informatics, data science, or related fieldsUsually requires experience in data management, health information systems, or related certifications
Work EnvironmentRemote internship, often part-time, supervised by professionalsRemote or hybrid, responsible for data organization and quality control
Employer & Industry UsageHospitals, healthcare providers, research institutionsHealthcare organizations, clinics, health IT companies

The main difference is that an Internship Remote Health Data Analyst is an entry-level, temporary position focused on learning and supporting data analysis tasks, while a Remote Health Data Coordinator handles ongoing data management and quality assurance responsibilities in a healthcare setting.

What are popular job titles related to Internship Remote Health Data Analyst jobs in Evanston, IL? For Internship Remote Health Data Analyst jobs in Evanston, IL, the most frequently searched job titles are:
What job categories do people searching Internship Remote Health Data Analyst jobs in Evanston, IL look for? The top searched job categories for Internship Remote Health Data Analyst jobs in Evanston, IL are:
What cities near Evanston, IL are hiring for Internship Remote Health Data Analyst jobs? Cities near Evanston, IL with the most Internship Remote Health Data Analyst job openings:
Internship Remote Health Data Analyst jobs near you
Infographic showing various Internship Remote Health Data Analyst job openings in Evanston, IL as of May 2026, with employment types broken down into 5% As Needed, 64% Full Time, 27% Part Time, 2% Temporary, and 2% Contract. Highlights an 100% Physical job distribution, with an average salary of $44,921 per year, or $21.6 per hour.

Population Health Informaticist

Alignerr

Chicago, IL • Remote

Full-time

Posted 6 days ago

Job description

Population Health Informaticist (AI Training)
About the Role
We partner with the world's leading AI research teams and labs to build smarter, more accurate AI models. We're looking for Population Health Informaticists to bring their expertise to projects that sit at the intersection of public health, data science, and artificial intelligence.
Your domain knowledge will directly shape how AI understands and reasons about population health - helping build systems that can identify disparities, interpret trends, and support better health decisions at scale.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Evaluate AI-generated outputs related to population health data, analytics, and public health strategy for accuracy and quality
    • Apply your expertise to review and annotate health datasets, dashboards, and reporting frameworks used in AI training
    • Identify gaps, errors, or misleading interpretations in AI-generated health insights
    • Translate complex population health concepts into clear, structured feedback that improves model performance
    • Work independently and asynchronously - on your schedule
    Who You Are
    • Experienced with healthcare, public health, or population-level datasets
    • Strong analytical background with familiarity in health metrics, surveillance systems, or epidemiological data
    • Skilled at data visualization or dashboard tools used in public health contexts
    • Able to critically evaluate data-driven claims and identify where AI reasoning falls short
    • Clear written communicator who can document feedback in structured formats
    Nice to Have
    • Prior experience with data annotation, data quality review, or evaluation systems
    • Familiarity with health informatics standards or public health reporting frameworks
    • Background in epidemiology, biostatistics, or health policy
    Why Join Us
    • Work on cutting-edge AI projects with top research labs and teams
    • Fully remote and flexible - work on your own schedule
    • Freelance perks: autonomy, variety, and global collaboration
    • Put your public health expertise to use in a field that's actively shaping the future of AI
    • Potential for ongoing work and contract extension

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