Public Health Data Analyst SME

Metas Solutions; Atlanta (GA); Remote; USD 70,000 - 100,000; Full time

Job summary

A leading company in public health is seeking an experienced Public Health Data Analyst SME to provide analytical support to the CDC. This remote role involves managing large datasets, conducting complex analyses, and co-authoring publications. Ideal candidates will have a Master's in Public Health and advanced skills in data analysis tools.

Qualifications

• Master's degree in Public Health with a focus on Epidemiology or Data Analytics.
• At least 2 years of relevant experience.
• Advanced skills in Python, R, or SQL for healthcare data manipulation.

Responsibilities

• Manage and analyze large datasets using Python, SQL, SAS, or R.
• Conduct exploratory and study-specific analyses on healthcare data.
• Develop data visualizations and dashboards using PowerBI.

Skills

Data wrangling

Big data analysis

Python

SQL

R

Analytical skills

Problem-solving

Communication skills

Education

Master of Public Health (MPH)

Tools

Microsoft Azure

Palantir Foundry

Truveta Studio

PowerBI

Job description

About Us

Metas Solutions is a professional services firm providing technical assistance and consultation to the federal government in public health capacity building and information technology. For more details about us and careers with Metas, please visit our website.

Job Description

We have an immediate opening for an experienced Public Health Data Analyst SME to work remotely, with the possibility of onsite work in Atlanta, GA in the future. In this role, you will provide public health programmatic, epidemiological, and scientific data analytical support to the CDC Office of Public Health Data, Surveillance, and Technology (OPHDST). You will support research studies and perform data analytics on large healthcare datasets, using tools such as R, Python, SAS, SQL, and proprietary tools. Experience with Palantir Foundry for data analysis and visualization is desired, as the role will transition to using this platform within 6-12 months.

The team offers expertise on statistical modeling and interpretation of 'big data' sets, including surveillance, EMR, and clinical data. Your responsibilities include analyzing complex studies, developing methodologies, and interpreting findings from pharmacy, hospital, and healthcare claims data. You will also co-author publications, present at conferences, and support the development of scientific products.

Responsibilities

• Manage and analyze large datasets using Python, SQL, SAS, or R, with a preference for Python and SQL.
• Learn proprietary tools such as Truveta Studio as needed.
• Support CDC clearance processes for scientific products.
• Conduct exploratory and study-specific analyses, interpreting findings from healthcare data.
• Develop data visualizations and dashboards using PowerBI or similar tools.
• Transfer knowledge of analytics tools and software languages to staff and clients.

Qualifications

• Master of Public Health with a focus on Epidemiology or Data Analytics.
• At least 2 years of supporting the private sector or federal government in related roles.
• Experience with data wrangling, big data analysis, and cloud data lakes.
• Advanced skills in Python, R, or SQL for healthcare data manipulation.
• Experience with Microsoft Azure; familiarity with Databricks and Palantir Foundry is preferred.
• Knowledge of healthcare coding terminologies (ICD-10, CPT, LOINC, NDC).
• Excellent analytical, problem-solving, and communication skills.
• US citizenship or ability to obtain a Public Trust 5 security clearance.