Biology​/Public Health Surveillance AI Specialist

Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable outcomes, helping agencies achieve their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful changes through cutting-edge programs that strengthen communities and promote well-being. See  for further details about us and careers with Metas.

Metas Solutions has an "immediate opening" for a talented Biology/Public Health Surveillance AI Specialist. In this Remote, position, you'll 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.

• 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.

• 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…