Biology/Public Health Surveillance AI Specialist

Location: US; must be a U.S. Citizen or Lawful Permanent Resident and able to obtain a U.S. Government Public Trust 5 security clearance

Company

hirify.global provides strategic consulting, program management, and data-driven analytics for federal public health agencies and national public health initiatives.

What you will do

• Apply biology, epidemiology, and public health surveillance expertise to design and evaluate AI-enabled surveillance solutions.
• Translate public health needs into AI use cases, evaluation criteria, analytical workflows, and representative test scenarios.
• Evaluate AI and Generative AI tools for event detection, outbreak summarization, information extraction, classification, trend identification, and evidence synthesis.
• Assess AI outputs for scientific accuracy, completeness, relevance, consistency, hallucinations, bias, explainability, and supporting evidence.
• Validate AI-assisted workflows using laboratory, case, syndromic, genomic, environmental, and other structured or unstructured surveillance data.
• Collaborate with epidemiologists, scientists, data and AI engineers, software engineers, and business analysts; document findings, risks, limitations, and recommendations.

Requirements

• Bachelor’s degree in biology, epidemiology, public health, microbiology, biostatistics, or a related scientific discipline.
• 5+ years of experience in biology, epidemiology, public health, biosurveillance, infectious disease surveillance, or a closely related field.
• Experience working with public health surveillance data and interpreting disease trends, signals, outbreaks, or 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 involving epidemiologists, scientists, data analysts, data engineers, software engineers, or AI/ML practitioners.
• Strong understanding of AI, machine learning, Generative AI, or large language model capabilities, applications, and limitations in scientific or public health settings.
• 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 for technical and non-technical audiences.
• Must be a U.S. Citizen or Lawful Permanent Resident and able to obtain a U.S. Government security clearance, Public Trust 5.

Nice to have

• 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 with federal, state, local, tribal, or territorial public health programs.
• Knowledge of Python, R, SQL, statistical analysis, or public health data visualization tools.
• 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.

Culture & Benefits

• Collaborative, cross-functional environment focused on public health impact and knowledge sharing.
• Market-competitive salary commensurate with experience and education.
• Medical, dental, vision, and life insurance.
• Paid time off and 401(k) with company match.
• Growth and promotion opportunities.

Hiring process

• Interview responses must be based on the candidate’s own knowledge, skills, and experience; AI tools and third-party resources may not be used to generate or assist interview responses.
• AI-assisted interview responses may result in disqualification from further consideration.