Senior Data Scientist (AI/ML)

Location: Remote within the United States, including Oregon

Company

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

What you will do

• Provide senior-level scientific, epidemiologic, statistical, and data analytics support for CDC Data Hub, ADB, and OPHDST priorities.
• Develop study questions, study designs, analytic plans, and methodological approaches for public health surveillance, research, and response.
• Analyze large and complex healthcare and public health datasets, including EHR, administrative claims, laboratory, pharmacy, hospital, survey, and surveillance data.
• Develop and validate AI/ML models through data preparation, feature engineering, model development, testing, performance evaluation, and interpretation.
• Build reusable analytic workflows and data products in Palantir Foundry/1CDP, Databricks, and other cloud-based platforms.
• Produce and review analytic reports, technical briefs, methodological documentation, presentations, white papers, code, and scientific products.

Requirements

• Senior-level experience in scientific, epidemiologic, statistical, or data analytic support for public health, biomedical, or epidemiologic research.
• Experience with large, complex healthcare or public health datasets and advanced statistical modeling or machine learning.
• Strong programming and reproducible workflow experience with Python, R, SQL, SAS, Spark, Git/GitHub, or comparable approved tools.
• Experience developing study designs, analytic plans, validation procedures, documentation, and scientific reports.
• Graduate degree in data science, epidemiology, biostatistics, public health, or another quantitative field.
• Must be a US citizen or able to obtain a US Government Public Trust 5 security clearance.

Nice to have

• Experience supporting CDC, HHS, or another federal public health organization.
• Hands-on experience with Palantir Foundry, 1CDP, Databricks, Microsoft Azure, Posit Workbench, Truveta Studio, or similar platforms.
• Experience with causal inference, Bayesian methods, data mining, feature engineering, natural language processing, or other emerging analytic methods.
• Experience serving as a data-asset subject matter expert and advising users on data quality, limitations, fitness for use, and interpretation.

Culture & Benefits

• Remote work supporting federal public health initiatives.
• Medical, dental, vision, and life insurance.
• Short-term and long-term disability coverage.
• Paid time off and holidays.
• 401(k) with company matching, plus growth and promotion opportunities.