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Internship Remote Health Informatics Jobs in Boston, MA

Remote, with occasional travel to Boston for go-live or training Employment Type: Contract Role ... A Bachelor's or Master's degree in Computer Science, Health Informatics, Data Engineering, or a ...

Experience working with clinical informatics teams or healthcare IT platforms. Familiarity with clinical workflows and healthcare data standards (HL7, FHIR, CCD, etc.). This is a remote position.

Technology Specialist

Boston, MA · Remote

$96K - $134K/yr

Remote Department: Enterprise Clinical Informatics Schedule: Full-time | Day Shift Salary: $96,208 ... Bachelor's degree in healthcare, informatics, information systems, business, or a related field, or ...

Clinical Analyst

Boston, MA · Remote

$110K - $156K/yr

... informatics, healthcare analytics, or related fields. * Strong proficiency in SQL and experience ... Remote-first environment with company provided computer * Thirteen paid holidays per year (average)

At Morrison Healthcare, a Compass Healthcare company, you'll join a culture that values caring for ... Support the growth of staff and dietetic interns through education and training as applicable What ...

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Internship Remote Health Informatics information

See Boston, MA salary details

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How much do internship remote health informatics jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for internship remote health informatics in Boston, MA is $16.89, according to ZipRecruiter salary data. Most workers in this role earn between $13.56 and $19.09 per hour, depending on experience, location, and employer.

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

AspectInternship Remote Health InformaticsRemote Health Data Analyst
Required CredentialsTypically pursuing or recent graduate in health informatics, healthcare, or related fieldsBachelor's or master's in health informatics, data analysis, or related disciplines
Work EnvironmentRemote internship, often part-time, supervised by professionalsRemote full-time or part-time role, independent data analysis tasks
Employer & Industry UsageHospitals, healthcare providers, health tech companiesHealthcare organizations, health tech firms, research institutions

While both roles involve working with health data, an internship in remote health informatics focuses on gaining foundational knowledge and skills under supervision, often for students or recent graduates. In contrast, a remote health data analyst role involves independently analyzing health data to support decision-making, requiring more experience and technical skills.

What are the most commonly searched types of Remote Health Informatics jobs in Boston, MA? The most popular types of Remote Health Informatics jobs in Boston, MA are:
What are popular job titles related to Internship Remote Health Informatics jobs in Boston, MA? For Internship Remote Health Informatics jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Internship Remote Health Informatics jobs in Boston, MA look for? The top searched job categories for Internship Remote Health Informatics jobs in Boston, MA are:
What cities near Boston, MA are hiring for Internship Remote Health Informatics jobs? Cities near Boston, MA with the most Internship Remote Health Informatics job openings:
Infographic showing various Internship Remote Health Informatics job openings in Boston, MA as of June 2026, with employment types broken down into 8% Internship, 80% Full Time, 8% Part Time, and 4% Temporary. Highlights an 40% In-person, 24% Hybrid, and 36% Remote job distribution, with an average salary of $35,126 per year, or $16.9 per hour.
Population Health Data Engineer (Epic & Healthcare Analytics)

Population Health Data Engineer (Epic & Healthcare Analytics)

Gardner Resources Consulting, LLC

Boston, MA • On-site, Remote

$124K - $149K/yr

Other

Posted 4 days ago


Job description

Population Health Data Engineer (Epic & Healthcare Analytics) - Hybrid
Location: Hybrid (25% onsite / 75% remote)
Travel: Project-based (typically once per quarter + Go-Live in Q4)
Employment Type: Contract with potential for conversion or extension
Overview
We are seeking two skilled Population Health Data Engineers with deep expertise in Epic data ecosystems and healthcare analytics. This role focuses on designing, building, and optimizing data pipelines and data models to support population health initiatives, quality of care, and claims analytics.
Key Responsibilities

  • Design, develop, and maintain scalable data pipelines supporting population health, claims analytics, and reporting
  • Work extensively with Epic data sources, including Registries, Rosters, Chronicles, Clarity, and Caboodle
  • Integrate clinical and claims data to support longitudinal patient records and advanced analytics
  • Develop data models for population health use cases (quality measures, risk stratification, utilization, care management)
  • Support development and operationalization of risk scoring models (e.g., MARA, HCC, RAF)
  • Process and transform healthcare claims data (medical and pharmacy) for analytics and reporting
  • Leverage Milliman MedInsight data structures for payer-provider analytics and benchmarking
  • Build and optimize ELT pipelines using modern cloud platforms
  • Collaborate with clinical, quality, population health, and analytics teams to translate business needs into technical solutions
  • Ensure data quality, governance, and compliance (e.g., HIPAA)
  • Optimize performance of large-scale datasets and queries


Required Qualifications

  • Strong hands-on experience with Epic systems, including:
    • Registries
    • Chronicles data structures
    • Hyperspace or Hyperdrive environments
    • Clarity and Caboodle data models
  • Experience with modern data engineering tools:
    • Snowflake (data warehousing)
    • DBT (data transformation/modeling)
    • Dynamic Tables in Snowflake
  • Strong SQL and data modeling expertise
  • Experience building and maintaining scalable data pipelines
  • Solid understanding of population health and value-based care concepts
  • Experience with healthcare claims data (medical and pharmacy)
  • Hands-on experience with Milliman MedInsight


Key Skills

  • Population Health & Risk Analytics
  • Healthcare Data Modeling (clinical + claims)
  • Epic Data Ecosystem Expertise
  • Snowflake & DBT
  • SQL & Performance Optimization
  • Data Governance & Compliance


Education & Experience

  • Bachelor’s or Master’s degree in Computer Science, Health Informatics, Data Engineering, or related field
  • 6+ years of data engineering experience, preferably in healthcare, payer, or population health analytics