Public Health Data Scientist: AI/ML & Cloud Analytics

Metas Solutions; Myrtle Point (OR); On-site; USD 90,000 - 130,000; Full time

Job summary

Metas Solutions seeks an experienced Public Health Data Analyst to support federal health initiatives. You will develop study questions, design analytic plans, and conduct analyses of large healthcare datasets, including EHRs and claims.

The role requires collaboration with scientists and program staff to translate data into actionable public health insights. You will work with cloud-based environments such as Palantir Foundry and Databricks, applying AI/ML techniques, code in Python/R/SQL, and

Qualifications

• Graduate degree in data science, epidemiology, biostatistics or public health.
• 5+ years of related experience in public health analytics.
• Experience with large healthcare datasets (EHR, claims, lab).

Responsibilities

• Provide scientific, epidemiologic, statistical, and data analytic support.
• Serve as SME for CDC Data Hub datasets and advise on data structure and methods.
• Develop study questions, analytic plans, and methodological approaches for surveillance and research.

Skills

Quantitative analysis

Epidemiology

Public health surveillance

Data management

Education

Graduate degree in data science or related field

Tools

Python

R

SQL

SAS

Spark

GitHub

Palantir Foundry

Databricks

Job description

Metas Solutions seeks an experienced Public Health Data Analyst to support federal health initiatives. You will develop study questions, design analytic plans, and conduct analyses of large healthcare datasets, including EHRs and claims.

The role requires collaboration with scientists and program staff to translate data into actionable public health insights. You will work with cloud-based environments such as Palantir Foundry and Databricks, applying AI/ML techniques, code in Python/R/SQL, and