Public Health Interoperability & Surveillance Data Analyst

Description

Leidos is seeking a Public Health Interoperability & Surveillance Data Analyst to support public health data integration, interoperability, surveillance modernization, and analytics initiatives for CDC DHP. This role supports the integration of surveillance, research, laboratory, and operational data systems while contributing to modernization efforts that improve data accessibility, interoperability, and analytical capabilities.

• Support interoperability, data integration, and surveillance modernization initiatives.
• Develop and maintain data mappings, interface specifications, and integration documentation.
• Support onboarding and integration of new data sources and partner systems.
• Assist with modernization of legacy analytical workflows and reporting processes.
• Support interoperability activities across surveillance, research, laboratory, and operational systems.
• Conduct data analysis and validation activities supporting interoperability initiatives.
• Develop technical documentation, SOPs, and user guidance materials.
• Support technical assistance and stakeholder engagement activities.
• Experience supporting enterprise reporting and analytics platforms.

• Bachelor's degree in Public Health, Epidemiology, Biostatistics, Health Informatics, Data Science, Computer Science, or related discipline.
• 5+ years of experience supporting public health data systems, analytics, interoperability, or modernization initiatives.
• Experience with SQL and one or more analytical languages such as SAS, R, or Python.
• Experience supporting surveillance, laboratory, research, or public health datasets.
• Strong analytical and communication skills.
• Ability to obtain/maintain a Public Trust Security Clearance.

• Experience supporting CDC, HHS, WHO, or other public health organizations.
• Experience with interoperability frameworks, APIs, FHIR, HL7, XML, JSON, or related technologies.
• Experience with EDAV (Databricks, Azure Data Factory, Delta Lake, R Studio, PowerBI, Tableau), 1
  
  CDP (Palantir Foundry), Azure SQL, Azure Dev Ops, or similar platforms.
• Experience supporting migration from SAS to other analytics solutions (e.g., R, Python, Databricks, Palantir Foundry).
• Experience supporting surveillance system integration, laboratory-surveillance integration, or public health modernization efforts.
• Experience supporting HIV, infectious disease surveillance, prevention, or public health programs.
• Preferred
  
  Certifications:
  
  Certified in Public Health (CPH), HL7 FHIR Fundamentals, GISP, public health informatics certifications, Palantir Foundry training, or equivalent.
• Master's degree preferred.

$87,100.00 - $

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

#Remote