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Internship Public Health Data Analyst Jobs (NOW HIRING)

Guidehouse

Public Health Data Engineer

Atlanta, GA

$110K - $132K/yr

... analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project ... Experience working with public health data and agencies * Exposure to Databricks, Spark, or large ...

Guidehouse

Public Health Data Engineer

Beavercreek, OH

$106K - $127K/yr

... analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project ... Experience working with public health data and agencies * Exposure to Databricks, Spark, or large ...

Guidehouse

Public Health Data Engineer

Huntsville, AL

$112K - $135K/yr

... analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project ... Experience working with public health data and agencies * Exposure to Databricks, Spark, or large ...

Guidehouse

Public Health Data Engineer

San Antonio, TX

$103K - $124K/yr

... analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project ... Experience working with public health data and agencies * Exposure to Databricks, Spark, or large ...

Guidehouse

Public Health Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

... analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project ... Experience working with public health data and agencies * Exposure to Databricks, Spark, or large ...

Guidehouse

Public Health Data Engineer

Atlanta, GA · On-site

$70K - $116K/yr

... analytics concepts. What Would Be Nice To Have: * Internship, academic, research, or project ... Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

Public Health Solutions

Survey Data Analyst

Queens, NY · On-site

$91K/yr

We're tackling a broad range of public health issues with innovative policies and programs and ... Within BES, the Surveys and Data Analysis Unit (SDAU) leads data collection, processing, and ...

Alpha Omega Integration

Public Health Analyst

Vienna, VA · On-site +1

$57K - $60K/yr

The Public Health Data Analyst, primarily using SAS will manage and analyze quantitative epidemiological, clinical and/or behavioral data and provide output in the format requested. This is a remote ...

Insight

Health Data Analyst

Chicago, IL · On-site

$29.17 - $36.75/hr

Coordinates the public reporting activities by ensuring that cases are accurately selected, QM ... a data analyst role * Bachelor's degree in a healthcare related field, computer science or ...

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Internship Public Health Data Analyst information

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

As of Aug 23, 2026, the average hourly pay for internship public health data analyst in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What does an internship public health data analyst do?

An Internship Public Health Data Analyst assists with collecting, cleaning, analyzing, and interpreting health-related data to support public health initiatives and research. They often use statistical software and data visualization tools to identify trends, inform policy decisions, and evaluate public health programs. Interns work closely with experienced analysts and public health professionals, gaining practical experience in data management and reporting while contributing to projects that aim to improve community health outcomes.

What types of projects do internship public health data analysts typically work on, and how do these projects contribute to public health initiatives?

Internship Public Health Data Analysts often work on projects such as analyzing disease surveillance data, evaluating program outcomes, or supporting health equity research. These projects may involve cleaning and visualizing datasets, running statistical analyses, and preparing reports for stakeholders. By helping interpret data trends and outcomes, interns directly support public health decisions, policy planning, and resource allocation. Collaborating with epidemiologists, program managers, and other analysts is common, allowing interns to gain exposure to multidisciplinary teams and real-world public health impact.

What are the key skills and qualifications needed to thrive as an internship public health data analyst, and why are they important?

To thrive as an Internship Public Health Data Analyst, you need a solid understanding of statistics, epidemiology, and data management, often supported by coursework or a degree in public health or a related field. Familiarity with data analysis tools such as R, SAS, SPSS, or Python, and experience with data visualization platforms like Tableau are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret and present complex data clearly. These skills are essential for accurately analyzing health data, informing public health decisions, and conveying findings to stakeholders.

What is the difference between Internship Public Health Data Analyst vs Public Health Data Analyst?

AspectInternship Public Health Data AnalystPublic Health Data Analyst
Required CredentialsTypically pursuing or recently completed relevant degree; no formal certification requiredBachelor's or Master's in Public Health, Data Science, or related field; certifications like CPH or data analysis certifications beneficial
Work EnvironmentInternship setting, often part-time or temporary, supervised by experienced staffFull-time professional role, often in government, healthcare, or research organizations
Employer & Industry UsageUsed by organizations to train and evaluate potential future employeesEstablished role for analyzing public health data to inform policy and programs

The main difference between an Internship Public Health Data Analyst and a Public Health Data Analyst is experience level and employment status. Internships are entry-level, temporary positions aimed at gaining skills, while the full analyst role involves ongoing responsibilities and requires more experience and credentials.

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Internship Public Health Data Analyst jobs near you
Infographic showing various Internship Public Health Data Analyst job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 76% Full Time, 16% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Public Health Interoperability Lead (Sr. Public Health Data Analyst)

Leidos

Remote

Full-time

Posted 17 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 496 rated business services

Job description

Leidos is seeking a Public Health Interoperability Lead to support CDC public health data modernization, interoperability, integration, and cloud-based analytics initiatives.
This position serves as the technical lead for public health data exchange, integration, interoperability, and modernization activities across CDC surveillance, research, laboratory, analytics, and operational data systems. The successful candidate will work closely with data managers, analysts, developers, architects, and program stakeholders to design, develop, implement, and support secure, scalable, and efficient data exchange solutions.
The role combines hands-on technical development with technical leadership and supports CDC modernization initiatives involving cloud-based analytics environments, enterprise data platforms, interoperability frameworks, and emerging public health technologies.
*This position requires U.S. Citizenship and is contingent upon award.
**Candidates in the Atlanta, GA area preferred. Remote work permitted with periodic travel to CDC facilities and customer meetings as required.
Primary Responsibilities
Public Health Data Integration and Interoperability
  • Lead interoperability and data integration activities across CDC public health systems, platforms, and partner organizations.
  • Design, develop, implement, and maintain data exchange workflows, APIs, integration services, and data pipelines.
  • Support secure and efficient movement of data between surveillance, research, laboratory, operational, and reporting systems.
  • Develop and maintain interface specifications, data mappings, integration documentation, and technical procedures.
  • Support onboarding and integration of new data sources, systems, and external partners.

Public Health Data Modernization
  • Support CDC data modernization initiatives and enterprise integration efforts.
  • Lead migration of legacy SAS-based analytics, reporting, and data management workflows to modern cloud-based platforms.
  • Support modernization efforts involving 1CDP, EDAV, Databricks, Azure, Python, R, and related technologies.
  • Support implementation of scalable data lake, lakehouse, and modern analytics architectures.
  • Collaborate with Data Governance, Data Quality, and Operations Leads to ensure interoperability solutions align with program standards and requirements.

Solution Development and Engineering
  • Design, develop, test, and maintain integration and interoperability solutions.
  • Develop and optimize ETL/ELT processes, APIs, data transformation workflows, and cloud-native data processing solutions.
  • Develop reusable code, technical documentation, and integration patterns.
  • Troubleshoot and resolve data integration, interoperability, performance, and data exchange issues.
  • Participate in code reviews, testing activities, and deployment processes.
  • Mentor junior developers and technical staff.

Technical Analysis and Coordination
  • Analyze business and technical requirements related to interoperability, integration, and data exchange.
  • Identify technical risks, integration challenges, and opportunities for modernization and process improvement.
  • Coordinate testing, validation, troubleshooting, and resolution of interoperability issues.
  • Participate in architecture reviews, modernization planning activities, and technical working groups.

Stakeholder Engagement and Technical Assistance
  • Coordinate with CDC stakeholders, technical teams, data providers, and external partners.
  • Support technical assistance activities related to interoperability and data exchange.
  • Develop technical documentation, user guidance, and operational procedures.
  • Present technical recommendations, architecture approaches, and modernization strategies to leadership and stakeholders.

Basic Qualifications
  • Bachelor's degree in Computer Science, Data Science, Health Informatics, Public Health Informatics, Information Systems, Engineering, or related discipline.
  • 8+ years of experience supporting public health data integration, interoperability, data engineering, analytics, or modernization initiatives.
  • Hands-on experience developing data pipelines, ETL/ELT processes, APIs, and integration workflows.
  • Strong SQL skills and experience working with relational and analytical data platforms.
  • Hands-on experience with Python, PySpark, R, SAS, or comparable analytics and data engineering languages.
  • Experience supporting cloud-based analytics, data engineering, or modernization environments.
  • Experience supporting large-scale data integration and modernization projects.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to work effectively across technical and business teams.

Preferred Qualifications
  • Experience supporting CDC, HHS, or other Federal public health agencies.
  • Experience supporting public health surveillance, laboratory, immunization, healthcare, claims, research, or programmatic data systems.
  • Experience supporting large-scale public health data modernization or enterprise integration initiatives.
  • Experience implementing interoperability solutions using APIs, FHIR, HL7, XML, JSON, or similar exchange frameworks.
  • Experience supporting CDC modernization initiatives involving 1CDP (Palantir Foundry), EDAV, Azure, Databricks, or similar enterprise analytics environments.
  • Experience migrating SAS-based analytics and reporting processes to Python, R, Spark, Databricks, or cloud-native platforms.
  • Experience with Databricks, Azure Data Factory, Delta Lake, Medallion Architecture, Azure SQL, and related data engineering technologies.
  • Experience supporting cloud migration, enterprise integration, and modernization efforts.
  • Experience with Power BI, Tableau, Python, R, SQL, and related analytics technologies.
  • Experience working in Agile, Scrum, DevSecOps, or product-oriented delivery environments.
  • Experience mentoring technical teams and supporting technical solution delivery.
  • Master's degree in Computer Science, Data Science, Health Informatics, Public Health Informatics, Engineering, or related discipline.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 15, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $107,900.00 - $195,050.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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