Public Health Surveillance AI Specialist

JRSS; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

401(k) plan with company match

Two weeks paid time off

Medical, dental, and vision insurance

Professional growth and development

Job summary

JR Software Solutions Inc. is seeking a Biology/Public Health Surveillance AI Specialist to advance federal public health analytics.

You will partner with epidemiologists, data scientists, and engineers to translate surveillance questions into AI use cases, evaluate AI outputs for accuracy, and ensure results are scientifically sound and explainable. You will design evaluation plans, create test datasets, and document findings for stakeholders.

Qualifications

• Bachelor’s degree in biology, epidemiology, public health, microbiology, biostatistics, or related field.
• 5+ years in biology, epidemiology, public health or biosurveillance.
• Experience with public health surveillance data and interpreting disease trends or outbreaks.
• Experience on multidisciplinary teams with epidemiologists, data analysts, engineers, or AI/ML practitioners.
• Strong understanding of AI/ML capabilities and limitations in scientific/public health settings.
• Knowledge of data quality, case definitions, sensitivity, specificity, and timeliness.

Responsibilities

• Apply biology, epidemiology, and public health surveillance expertise to design and evaluate AI-enabled surveillance solutions.
• Translate public health needs into AI use cases and evaluation criteria.
• Evaluate AI and Generative AI tools for surveillance use cases (event detection, information extraction, trend identification).
• Develop test scenarios and evaluation datasets using surveillance data and literature.
• Assess AI outputs for accuracy, bias, explainability, and evidence support.
• Validate AI-assisted workflows using structured and unstructured data (lab, case, syndromic, genomic).
• Collaborate with AI/data teams to improve prompts, RAG, agents, and evaluation methods.
• Document results, risks, and recommendations for technical and non-technical stakeholders.
• Track advancements in surveillance and responsible AI for public health programs.

Skills

Biology knowledge

Epidemiology

Public health surveillance

AI literacy

Communication

Education

Bachelor's degree in Biology/Epidemiology/Public Health

Master's degree preferred

Tools

Python

R

SQL

Job description

Position Title: Senior Management Analyst – Biology/Public Health Surveillance AI Specialist

Location: Remote (Continental U.S.)

Company: JR Software Solutions Inc. (JRSS)

Employment Type: Full-time

About JR Software Solutions Inc.

JRSS is a certified Women-Owned Small Business (WOSB), Small Disadvantaged Business (SDB), and HUBZone business headquartered in Tampa, FL. We specialize in Cloud Services, AI and Machine Learning, Big Data and BI Analytics, Enterprise Resource Planning, IT Project Management, and Staff Augmentation for Federal Civilian agencies (e.g., CDC) and Fortune 500 clients. Our teams bring public health domain expertise and AI capability together to strengthen disease surveillance and data-driven decision-making.

Position Overview

The JRSS AI/ML Team is seeking a Biology/Public Health Surveillance AI Specialist to support the next generation of federal public health analytics. You will partner with epidemiologists, public health scientists, data scientists, and AI and software engineers to translate surveillance questions into measurable AI use cases, assess the reliability of AI-generated outputs, and ensure solutions are scientifically sound, explainable, secure, and appropriate for public health use.

Key Responsibilities

• Apply biology, epidemiology, and public health surveillance expertise to the design and evaluation of AI-enabled surveillance solutions.
• Translate public health needs into AI use cases, evaluation criteria, and analytical workflows in collaboration with cross-functional teams.
• 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 public health information.
• Assess AI outputs for scientific accuracy, completeness, relevance, consistency, hallucinations, bias, explainability, and appropriate use of supporting evidence.
• Validate AI-assisted workflows that use structured and unstructured data, including laboratory, case, syndromic, genomic, and environmental surveillance information.
• Partner with AI and data engineering teams to improve prompts, retrieval-augmented generation (RAG), agents, knowledge sources, and evaluation methods based on domain findings.
• Document evaluation results, limitations, risks, and recommendations, and communicate them clearly to technical and non-technical stakeholders.
• Track advancements in surveillance, epidemiology, Generative AI, and responsible AI, and assess their applicability to public health programs.

Required 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, biosurveillance, 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 interpretation of analytical results.
• Experience on multidisciplinary teams that include epidemiologists, scientists, data analysts, engineers, or AI/ML practitioners.
• Strong understanding of AI, machine learning, Generative AI, and large language model capabilities and limitations in scientific or public health settings.
• Strong understanding of epidemiologic and surveillance concepts, including data quality, case definitions, sensitivity, specificity, timeliness, and representativeness.
• Strong communication and documentation skills.
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card holder).
• Ability to obtain and maintain a Public Trust clearance.

Preferred Qualifications

• Master's degree or higher in Epidemiology, Public Health, Biology, Bioinformatics, Biostatistics, or a related field.
• Experience applying or evaluating Generative AI, LLMs, RAG, AI agents, or natural-language analytics in public health, healthcare, or life sciences.
• Experience with surveillance platforms, laboratory or genomic data, syndromic surveillance, or emerging infectious disease monitoring.
• Experience supporting federal, state, local, tribal, or territorial public health programs; prior CDC experience preferred.
• Knowledge of Python, R, SQL, statistical analysis, or data visualization tools.
• Knowledge of AI evaluation frameworks, benchmark development, prompt evaluation, red teaming, or human-in-the-loop validation.

What We Offer

• 401(k) plan with a 4% company match.
• Two weeks of paid time off.
• Comprehensive medical, dental, and vision insurance.
• Ongoing investment in professional growth and development.

Equal Opportunity Statement

JR Software Solutions Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.