2

Remote Public Health Data Scientist Jobs (NOW HIRING)

... remote teams Education: * Master's degree in an empirical field such as statistics, bioinformatics, mathematics, public health, data science, economics, engineering, physics, etc. Additional Job ...

Data Scientist

$72K - $120K/yr

... remote teams Education: * Master's degree in an empirical field such as statistics, bioinformatics, mathematics, public health, data science, economics, engineering, physics, etc. Additional Job ...

Data Scientist

$72K - $120K/yr

... remote teams Education: * Master's degree in an empirical field such as statistics, bioinformatics, mathematics, public health, data science, economics, engineering, physics, etc. Additional Job ...

The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex ... Public Health, or a related discipline required; * Equivalent combination of education and ...

Data Science & Analysis Travel Required: Up to 10% Clearance Required: Ability to Obtain Public ... Experience supporting healthcare, public sector, or federal clients. * Interest in data ...

The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex ... Public Health, or a related discipline required; * Equivalent combination of education and ...

The Principal Health Data Scientist will lead and serve as subject matter expert in data science, programming, and analytical modeling in support of health economics and real-world evidence (HEOR/RWE ...

The Principal Health Data Scientist will lead and serve as subject matter expert in data science, programming, and analytical modeling in support of health economics and real-world evidence (HEOR/RWE ...

About Epistemix The most consequential decisions in public health, life sciences, insurance, and ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Data Scientist

Atlanta, GA · On-site +1

$99K - $225K/yr

Remote Work: Hybrid Job Number: R0247378 Location: Atlanta,GA,US Share job via: Share Data ... Across private and public sectors-from fraud detection to cancer research to national intelligence ...

Job Summary We are seeking a Senior Data Scientist to support the Department of Veterans Affairs ... or public health context. About Aptive About Aptive. Aptive partners with federal agencies to ...

Job Summary We are seeking a Senior Data Scientist to support the Department of Veterans Affairs ... or public health context. About Aptive About Aptive. Aptive partners with federal agencies to ...

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... sciences and public health) A master's degree from an accredited college or university with a ...

The position is eligible for 2 days per week remote work. About TLC: The New York City Taxi and ... sciences and public health) A master's degree from an accredited college or university with a ...

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Work with health data and time-series sensor data * Connect biomedical sensor data with medical ...

Epistemix is a company that builds simulation and data-driven modeling tools for public health, life sciences, and enterprise strategy. The Data Scientist role involves supporting data integration ...

Public Health Analyst

Vienna, VA · On-site +1

$57K - $60K/yr

... and/or behavioral data and provide output in the format requested. This is a remote role but ... Knowledge of behavioral and social science research methods. * Experience supporting research ...

... healthcare claims from dozens of public and private payers. This environment exists exclusively to ... Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our ...

next page

Showing results 1-20

Remote Public Health Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do remote public health data scientist jobs pay per year?

As of Aug 25, 2026, the average yearly pay for remote public health data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a remote public health data scientist?

A Remote Public Health Data Scientist is a professional who analyzes and interprets health-related data to inform public health decisions, policies, and interventions, all while working from a location outside of a traditional office setting. They use statistical tools, programming languages, and data visualization techniques to identify trends, track disease outbreaks, and evaluate the effectiveness of public health programs. Typically, they collaborate virtually with public health teams, epidemiologists, and policymakers to improve community health outcomes.

How does a remote public health data scientist typically collaborate with multidisciplinary teams while working off-site?

Remote Public Health Data Scientists frequently work with epidemiologists, healthcare providers, policy analysts, and IT specialists through virtual meetings, collaborative platforms, and cloud-based data tools. Effective communication and clear documentation are crucial to ensure that data insights are accurately translated for diverse stakeholders. Regular check-ins, agile project management tools, and shared dashboards help facilitate seamless collaboration and keep projects on track. Building strong remote relationships is essential for integrating data science perspectives into public health strategies.

What are the key skills and qualifications needed to thrive as a remote public health data scientist, and why are they important?

To thrive as a Remote Public Health Data Scientist, you need expertise in statistics, epidemiology, programming (such as Python or R), and a degree in a related field like public health or data science. Familiarity with data visualization tools, statistical software (e.g., SAS, SPSS), and public health data systems is typically required. Strong analytical thinking, communication, and collaboration skills are crucial for interpreting complex data and sharing insights with diverse stakeholders. These skills ensure accurate analysis and effective decision-making to improve public health outcomes from a remote setting.

What is the difference between Remote Public Health Data Scientist vs Remote Epidemiologist?

AspectRemote Public Health Data ScientistRemote Epidemiologist
Required CredentialsDegree in Public Health, Data Science, or related field; proficiency in statistical softwareDegree in Epidemiology, Public Health, or related field; often requires epidemiology-specific certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often in research or health agenciesField investigations, outbreak analysis, and research; may include remote data work
Employer & Industry UsageGovernment agencies, research institutions, health tech companiesPublic health departments, CDC, WHO, research organizations

While both roles focus on public health, Remote Public Health Data Scientists primarily analyze health data to inform decisions, whereas Remote Epidemiologists investigate disease patterns and outbreaks. The roles often overlap in data analysis skills but differ in focus and specific responsibilities.

More about Remote Public Health Data Scientist jobs

What cities are hiring for Remote Public Health Data Scientist jobs?

Cities with the most Remote Public Health Data Scientist job openings:

What are the most commonly searched types of Public Health Data Scientist jobs?

The most popular types of Public Health Data Scientist jobs are:

What states have the most Remote Public Health Data Scientist jobs?

States with the most job openings for Remote Public Health Data Scientist jobs include:

Infographic showing various Remote Public Health Data Scientist 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 $122,738 per year, or $59 per hour.

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

Leidos

Remote

Full-time

Posted 19 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.

What Leidos employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Leidos logo

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

Social media