Public Health Data Analyst SME

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Job type

Full-time
 
Benefits
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Health insurance
401(k) matching
Paid time off
Vision insurance
Dental insurance
Life insurance
Disability insurance
 
Full job description
About Us:

Metas Solutions is a professional services firm that offers technical assistance and consultation to the federal government in the areas of public health capacity building and information technology ideation and implementation. See www.metassolutions.com for further details about us and careers with Metas.

Job Description:

Metas Solutions has an "immediate opening" for an experienced Public Health Data Analyst SME to work remote with the possibility of working onsite in Atlanta, GA at some point 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). In this role you will support research studies and perform data analytics on various large datasets of healthcare data. As a member of the Science and Analytics Team, you will provide data analysis support to scientists performing research and studies using a variety of tools such as R, Python, SAS, SQL and other proprietary tools. You'll assist clients with a deep understanding of their data, what it all means, and how they can use it. This role with transition to performing analysis using a Palantir based solution in the next 6-12 months therefore experience using Palantir Foundry for data analysis and visualization is desired.

The Scientific and Analytics Team provides high-level public health expertise on all phases of statistical models and interpretation of analysis and studies on "big data" sets of surveillance, EMR and other licensed clinical data. Your role is as a public health data analyst/ scientist is to work closely with your client to analyze and prepare complex studies that require a sophisticated methodology or advanced computer skills. You will examine reports and articles prepared by others as part of the peer-review process. You will provide technical consultation with program staff to develop study questions and designs, conduct analyses, and interpret findings based on pharmacy, hospital, and healthcare claims data. You will also co-author papers for publications in peer-review journals and reports, and present to the scientific community at professional meetings and conferences.

Responsibilities:

Maintain requisite knowledge for managing and analyzing large data sets using Python, SQL, SAS or R (preferably Python and SQL). You may be asked to learn proprietary tools such as Truveta Studio.
You will provide ongoing knowledge transfer to OPHDST or their client staff for SME supported new analytics tools and/or analytic software languages.
Support CDC clearance process for scientific products as needed. MPH with expertise in epidemiology or data analytics preferred.
Conduct exploratory or study-specific analyses and interpret findings from previously collected data based on pharmacy, hospital, viruses/diseases, and healthcare claims.
Analyze and prepare complex studies that require a sophisticated methodology or advanced computer skills.
Examine reports and articles prepared by others as part of the peer-review process.
Provide technical consultation with program staff to develop study questions and designs, conduct analyses, and interpret findings based on pharmacy, hospital, and healthcare claims data.
Co-author papers for publications in peer-review journals and reports, and present to the scientific community at professional meetings and conferences.
Verify results and validate with other known information sources.
Develop data analysis findings and materials and summarize and visualize results (for example, develop graphs for dashboards showing data metrics) using tools such as PowerBI.
Qualifications:

Master of Public Health with focus on Epidemiology and Data Analytics and 2+ years (post MPH) of supporting the private sector or federal government in support roles required.
Experience with data wrangling tools and conducting data analysis on big data sets, data lakes in the cloud.
Advanced fluency in data manipulation and querying complex healthcare data (e.g. electronic health records, healthcare claims) in Python (preferred), R, or SQL programs.
Experience with Microsoft Azure required.
Experience with Databricks (preferred).
Experience with Palantir Foundry (preferred).
Experience with Big Data analysis programming techniques and technologies in a public health environment.
Experience with machine learning, data mining, statistical analysis, data structures (preferred).
Knowledge of healthcare data and coding terminologies ((e.g. ICD-10, CPT, LOINC, NDC).
Possession of excellent analytical, data gathering, and problem-solving skills.
Knowledge with use of data visualization and dashboarding tools such as PowerBI (preferred) and Python/R visualization libraries.
Experience supporting multiple concurrent on-going activities.
Excellent communication and interpersonal skills.
Security Requirements:

Must be US Citizen or with the ability to obtain a US Government security clearance (Public Trust 5) within a reasonable period.
Market competitive salary, commensurate with experience and education.
Comprehensive benefits package available, Medical, Dental, Vision and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities.
 
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