Public Health Surveillance AI Specialist (53265)

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.

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.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job, email us at [email protected]. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

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.