Remote Public Health Surveillance AI Specialist

Metas Solutions; Decatur (GA); Remote; USD 120,000 - 170,000; Full time

Job summary

Metas Solutions is seeking a Biology/Public Health Surveillance AI Specialist for a remote, US-based role. You will translate surveillance questions into AI use cases, evaluate AI outputs for scientific validity, and collaborate with epidemiologists, data scientists, AI engineers, and analysts to strengthen disease surveillance and public health decision-making.

You will help design evaluation datasets, ensure responsible AI practices, and stay current with AI advancements in public health.

Qualifications

• Bachelor's degree in biology, epidemiology, public health, microbiology, biostatistics, or related field.
• 5+ years of experience in biology, epidemiology, public health, bio surveillance, infectious disease surveillance, or related field.
• Experience 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).
• 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.
• Master's degree or higher in epidemiology, public health, biology, bioinformatics, biostatistics, or a related field preferred.

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 understanding

GenAI concepts

Communication

Team collaboration

Education

Bachelor's degree in biology/epidemiology/public health

Master's degree preferred

Tools

Python

R

SQL

Job description

Metas Solutions is seeking a Biology/Public Health Surveillance AI Specialist for a remote, US-based role. You will translate surveillance questions into AI use cases, evaluate AI outputs for scientific validity, and collaborate with epidemiologists, data scientists, AI engineers, and analysts to strengthen disease surveillance and public health decision-making.

You will help design evaluation datasets, ensure responsible AI practices, and stay current with AI advancements in public health.