Remote AI-Driven Public Health Surveillance Specialist

Metas Solutions; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Metas Solutions seeks an experienced Biology/Public Health Surveillance AI Specialist to remotely support AI-enabled public health analytics.

You will translate surveillance questions into measurable AI use cases, assess AI outputs for accuracy and bias, and collaborate with epidemiologists, data scientists, and software engineers to operationalize AI capabilities for disease surveillance and decision-making.

Qualifications

• Bachelor's degree in biology, epidemiology, public health, microbiology, biostatistics, or a related field.
• 5+ years of experience in biology, epidemiology, public health, bio surveillance, or closely related field.
• Experience working with public health surveillance data and interpreting disease trends.
• Experience reviewing scientific information and assessing analytical results.
• Experience with multidisciplinary teams including epidemiologists, data analysts, data engineers, software engineers, or AI/ML practitioners.
• Strong understanding of AI, ML, Generative AI, or large language model capabilities and their limitations.
• Strong understanding of epidemiologic and surveillance concepts, including data quality, case definitions, sensitivity, specificity, timeliness, representativeness, and interpretation of surveillance signals.
• Strong communication and documentation skills 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)

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.

Skills

Biology

Epidemiology

Public health surveillance

AI/ML

Team collaboration

Education

Bachelor's degree in biology / related field

Master's degree preferred

Job description

Metas Solutions seeks an experienced Biology/Public Health Surveillance AI Specialist to remotely support AI-enabled public health analytics.

You will translate surveillance questions into measurable AI use cases, assess AI outputs for accuracy and bias, and collaborate with epidemiologists, data scientists, and software engineers to operationalize AI capabilities for disease surveillance and decision-making.