Remote Public Health Data Scientist – ML & Analytics

Metas Solutions; Atlanta (GA); Remote; USD 90,000 - 130,000; Full time

Job summary

Metas Solutions is seeking a Public Health Data Scientist to support a federal client in a remote role. You will define study questions, design analytic plans, and conduct advanced analyses on large healthcare datasets, translating findings into actionable public health insights.

You will serve as SME on CDC Data Hub datasets, work with Databricks, Palantir Foundry, and cloud platforms, and lead analytic reports, reproducible workflows, and AI/ML efforts with a focus on scientific rigor.

Qualifications

• Graduate degree with 5+ years of related experience.
• Experience developing study designs, analytic plans, and methodological approaches for public health surveillance.
• Experience collaborating with epidemiologists, data scientists, data managers, and engineers.
• Experience analyzing large, complex healthcare/public health datasets (EHR, claims, lab, pharmacy, hospital).
• Experience with machine learning/AI and advanced statistical modeling.
• Experience developing, maintaining, and reviewing analytic code using Python, R, SQL, and other tools.
• Experience with Git/GitHub or similar version-controlled workflows.
• Must be able to obtain Federal Public Trust clearance.

Responsibilities

• Provide scientific, epidemiologic, statistical, and data analytic support.
• Serve as SME for CDC Data Hub datasets and advise on data structure and analyses.
• Develop research questions, study designs, analytic plans, and methodological approaches.
• Conduct advanced analyses of large healthcare/public health datasets.
• Lead development of analytic reports, documentation, presentations, and publications.
• Collaborate with data scientists, epidemiologists, data managers, and engineers to ensure QA of AI/ML approaches.
• Support exploratory and applied AI/ML analyses including data prep, feature engineering, model development, validation, and interpretation.
• Conduct literature reviews to inform study designs and methods.
• Develop reusable analytic workflows within cloud platforms (Palantir Foundry, Databricks, etc.).
• Develop, maintain, and review analytic code in Python, R, SQL.
• Review analyses for rigor, reproducibility, and quality.
• Collaborate with data management to understand data transformations and dependencies.
• Promote reusable analytic practices with documented code and shared repositories.

Skills

Machine learning

Python

R

SQL

Data analysis

Git/GitHub

Education

Graduate degree in data science, epidemiology, biostatistics, or public health

Tools

Palantir Foundry

Databricks

Microsoft Azure

Posit Workbench

Truveta Studio

Job description

Metas Solutions is seeking a Public Health Data Scientist to support a federal client in a remote role. You will define study questions, design analytic plans, and conduct advanced analyses on large healthcare datasets, translating findings into actionable public health insights.

You will serve as SME on CDC Data Hub datasets, work with Databricks, Palantir Foundry, and cloud platforms, and lead analytic reports, reproducible workflows, and AI/ML efforts with a focus on scientific rigor.