Public Health Surveillance AI Specialist (53265)

GAP SOLUTIONS INC; Atlanta (GA); On-site; USD 140,000 - 155,000; Full time

Job summary

GAP Solutions Inc. is seeking an experienced Public Health Surveillance AI Specialist for the CDC in Atlanta, GA.

This full-time role focuses on applying epidemiology and AI to strengthen disease surveillance, situational awareness, and public health decision-making. You will collaborate with epidemiologists, data scientists, AI engineers, software engineers, and analysts to evaluate AI use cases, develop test datasets, and ensure outputs are scientifically sound, explainable, and free of bias.

Qualifications

• Bachelor’s degree in biology, epidemiology, public health, microbiology, biostatistics, or related field.
• 5+ years in biology, epidemiology, public health, or related surveillance.
• Experience with public health surveillance data and disease trends interpretation.
• Ability to assess scientific results and communicate to diverse audiences.
• Strong understanding of AI concepts and their public health applications.
• U.S. citizen or lawful permanent resident.

Responsibilities

• Apply biology and epidemiology to design and evaluate AI-enabled surveillance solutions.
• Collaborate with cross-functional teams to translate needs into AI use cases and workflows.
• Evaluate AI tools for event detection, summarization, information extraction, and trend analysis.
• Develop test scenarios and evaluation datasets from surveillance data and literature.
• Assess AI outputs for accuracy, relevance, bias, and explainability.
• Support validation of AI-assisted workflows using diverse health data.

Skills

AI/ML concepts

Generative AI

RAG

Data visualization

Education

Bachelor’s degree in biology

Master’s degree or higher in Epidemiology

Tools

Python

R

SQL

Job description

Job Details: Level: Experienced, Job Location: Centers for Disease Control & Prevention (CDC) - Atlanta, GA 30333, Position Type: Full Time, Education Level: Bachelors Degree, Salary Range: $140,000.00 - $155,000.00 Salary/year, Travel Percentage: None, Job Shift: Day, Job Category: Public Health, Position Objective: The Public Health Surveillance AI Specialist will support the next generation of public health analytics by applying biological and public health surveillance expertise to AI-enabled solutions. You’ll partner with epidemiologists, public health scientists, data scientists, AI engineers, software engineers, and business analysts to evaluate, develop, and operationalize AI capabilities that strengthen disease surveillance, situational awareness, and public health decision-making. You will help translate surveillance questions and biological context into measurable AI use cases, assess the quality and reliability of AI-generated outputs, and ensure solutions are scientifically sound, explainable, secure, and appropriate for public health use.

Duties and Responsibilities:

• Apply biology, epidemiology, and public health surveillance expertise to the design and evaluation of AI-enabled surveillance solutions.
• Collaborate with cross-functional teams to understand public health needs and translate them into AI use cases, evaluation criteria, and analytical workflows.
• Evaluate AI and Generative AI tools for surveillance use cases such as event detection, case and outbreak summarization, information extraction, classification, trend identification, and evidence synthesis.
• Develop representative test scenarios and evaluation datasets using surveillance data, scientific literature, reports, and other relevant public health information.
• Assess AI outputs for scientific accuracy, completeness, relevance, consistency, hallucinations, bias, explainability, and appropriate use of supporting evidence.
• Support validation of AI-assisted workflows that use structured and unstructured public health data, including laboratory, case, syndromic, genomic, environmental, and other surveillance information as applicable.
• Work with AI and data engineering teams to improve prompts, retrieval-augmented generation (RAG), agents, knowledge sources, and evaluation methods based on public health domain findings.
• Document evaluation results, limitations, risks, and recommendations and communicate findings clearly to technical and non-technical stakeholders.
• Stay current with advancements in public health surveillance, epidemiology, biology, Generative AI, and responsible AI, and assess their applicability to public health programs.
• Engage in knowledge sharing and contribute to building a strong, collaborative team environment.

Qualifications: Basic Qualifications:

• Bachelor’s degree in biology, Epidemiology, Public Health, Microbiology, Biostatistics, or a related scientific discipline
• 5+ years of experience in biology, epidemiology, public health, bio surveillance, infectious disease surveillance, or a closely related field
• Experience working with public health surveillance data and interpreting disease trends, signals, outbreaks, or other population health indicators
• Experience reviewing scientific or public health information and assessing the accuracy, validity, and appropriate interpretation of analytical results
• Experience working with multidisciplinary teams that include epidemiologists, scientists, data analysts, data engineers, software engineers, or AI/ML practitioners
• Ability to demonstrate a strong understanding of AI, machine learning, Generative AI, or large language model capabilities and their potential applications and limitations in scientific or public health settings
• Ability to demonstrate a strong understanding of epidemiologic and surveillance concepts, including data quality, case definitions, sensitivity, specificity, timeliness, representativeness, and interpretation of surveillance signals
• Possession of strong communication and documentation skills with the ability to clearly convey scientific and technical concepts to both technical and non-technical audiences
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)

Preferred Qualifications:

• Master’s degree or higher in Epidemiology, Public Health, Biology, Bioinformatics, Biostatistics, or a related field preferred
• Experience applying or evaluating Generative AI, large language models, RAG, AI agents, or natural-language analytics in public health, healthcare, or life sciences
• Experience with public health surveillance platforms, laboratory or genomic data, syndromic surveillance, or emerging infectious disease monitoring
• Experience working with federal, state, local, tribal, or territorial public health programs
• Knowledge of Python, R, SQL, statistical analysis, or data visualization tools used in public health analytics
• Knowledge of AI evaluation frameworks, benchmark development, prompt evaluation, red teaming, or human-in-the-loop validation

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

This position is contingent upon contract award.