Public Health Data Scientist (AI)

Location: United States citizenship or the ability to obtain a US Government security clearance is required.

Company

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

What you will do

• Define study questions, develop study designs and analytic plans, and provide scientific, epidemiologic, statistical, and advanced analytic support.
• Advise scientists and program staff as a subject matter expert on CDC Data Hub datasets, data structures, limitations, analytic methods, and interpretation.
• Analyze large and complex healthcare and public health datasets, including electronic health records, claims, laboratory, pharmacy, hospital, survey, and surveillance data.
• Support AI/ML analyses through data preparation, feature engineering, model development, testing, validation, performance evaluation, and interpretation.
• Develop analytic reports, methodological documentation, presentations, manuscripts, scientific publications, and reusable workflows.
• Collaborate with epidemiologists, data scientists, data managers, and engineers to address data quality, transformations, lineage, dependencies, reproducibility, and platform capabilities.

Requirements

• Graduate degree in data science, epidemiology, biostatistics, public health, or another quantitative field with 5+ years of related experience.
• Experience developing and implementing study designs, analytic plans, and methodological approaches for public health surveillance, research, response, or related activities.
• Experience analyzing large, complex healthcare or public health datasets and collaborating with epidemiologists, data scientists, data managers, and engineers.
• Experience with machine learning, AI, advanced statistical modeling, method development, implementation validation, and interpretation.
• Experience developing, maintaining, and reviewing reproducible analytic code and workflows using Python, R, SQL, and other approved tools, including data preparation, quality control, validation, and documentation.
• Experience producing analytic reports, methodological documentation, technical briefs, presentations, white papers, and scientific publications.
• Experience with Git, GitHub, or other version-controlled repositories and reproducible analytic workflows.
• Familiarity with healthcare coding and terminology systems.
• Must be a US citizen or able to obtain a US Government security clearance, Public Trust 5, within a reasonable period.

Nice to have

• Experience supporting HHS, CDC, or another federal public health organization.
• Hands-on experience with Palantir Foundry, including data exploration, transformation, analytics, reusable workflows, or analytic product development.
• Experience with Databricks, Microsoft Azure, Posit Workbench, Truveta Studio, or similar cloud-based analytic platforms.
• Experience with causal inference, Bayesian methods, machine learning, data mining, feature engineering, or natural language processing.
• Experience developing, testing, validating, and evaluating ML/AI models or emerging analytic methods using large healthcare or public health datasets.
• Experience serving as a dataset or data-asset subject matter expert.

Culture & Benefits

• Market-competitive salary commensurate with experience and education.
• Medical, dental, vision, and life insurance.
• Paid time off and a 401K with company match.
• Growth and promotion opportunities.