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As Needed Public Health Data Science Jobs (NOW HIRING)

Guidehouse

Public Health Data Engineer

San Antonio, TX · On-site

$103K - $124K/yr

What You Will Need: * U.S. Citizenship or permanent residency is required and Must be able to ... science, or a related technical discipline. * Experience with a programming language such as Python ...

CeCity.com

Data Scientist

$72K - $120K/yr

... such as statistics, bioinformatics, mathematics, public health, data science, economics ... If you need assistance in the application process, please reply todiversity_and_accommodations ...

Premier, Inc.

Data Scientist

$72K - $120K/yr

... such as statistics, bioinformatics, mathematics, public health, data science, economics ... If you need assistance in the application process, please reply todiversity_and_accommodations ...

Guidehouse

Public Health Technical Lead

$102K - $170K/yr

Data Science & Analysis Travel Required: Up to 25% Clearance Required: Ability to Obtain Public ... needs into technical approaches. * Support the application of interoperability standards such as ...

Guidehouse

Public Health Technical Lead

Atlanta, GA · On-site

$102K - $170K/yr

Data Science & Analysis Travel Required: Up to 25% Clearance Required: Ability to Obtain Public ... needs into technical approaches. * Support the application of interoperability standards such as ...

Guidehouse

Health AI ML Data Scientist

... as appropriate. What You Will Need: * Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Engineering, Mathematics, Statistics, Public Health, or related ...

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How much do as needed public health data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for as needed public health data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

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As Needed Public Health Data Science jobs near you
Infographic showing various As Needed Public Health Data Science job openings in the United States as of June 2026, with employment types broken down into 21% Full Time, 65% Part Time, and 14% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

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

Leidos

Remote

Full-time

Posted 18 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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