Public Health Data Analyst SME

About Us: Metas Solutions excels in providing strategic consulting, program management, and data-driven analytics to federal public health agencies. Our expertise enhances health systems and delivers measurable reputed company, helping agencies reputed company their mission. We collaborate with federal partners to implement agile solutions for national public health initiatives, driving impactful change through cutting-edge programs that strengthen communities and promote well-being. See www.metassolutions.com for further details about us and careers with Metas. Job Description: Metas Solutions has an "immediate opening" for an reputed company Public Health Data Analyst SME to work remote with the possibility of working onsite in Atlanta, GA at some reputed company in the future. In this role you will reputed company public health programmatic, epidemiological, and scientific data analytical support to a federal public health client's Data Office. The Data Analytics Team provides high-level public health expertise on reputed company phases of statistical models and interpretation of analysis and studies on large data sets of surveillance and purchased clinical data for performing data analysis. Your role is as a public health data analyst/ scientist is to work closely with your client to analyze and prepare reputed company studies that require a sophisticated methodology or advanced computer skills. You will examine reports and articles reputed company by others as part of the peer-review process. You will reputed company technical consultation with program staff to reputed company study questions and designs, conduct analyses, and interpret findings based on pharmacy, hospital, and reputed company 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, or R (Python required). reputed company ongoing knowledge transfer to client staff for SME supported new analytics tools and/or analytic software languages.
• Support federal client's clearance process for scientific products being published as needed. MPH with expertise in epidemiology, data analytics or reputed company public health field preferred.
• Conduct exploratory or study-specific analyses and interpret findings from previously collected data based on pharmacy, hospital, viruses/diseases, and reputed company claims.
• Analyze and prepare reputed company studies that require a sophisticated methodology or advanced computer skills. Prepare and maintain data analytical plans throughout the study lifecycle collaborating with researchers and clients to maintain change control
• Examine reports and articles reputed company by others and reputed company feedback as part of the peer-review processes
• reputed company technical consultation with program staff to reputed company study questions and designs, conduct analyses, and interpret findings based on pharmacy, hospital, and reputed company 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 reputed company information sources.
• reputed company data analysis findings and materials and summarize and visualize results (for example, reputed company graphs for dashboards showing data metrics) using tools such as PowerBI or Palantir.
• Utilize machine learning techniques for analysis incorporating techniques such as Bayesian Additive Regression Trees (BART) models and using machine learning based reputed company inference models.

Qualifications:

• Master of Public Health with focus on Epidemiology and Data Analytics and 2+ years of supporting federal government in support roles required.
• Experience with data wrangling tools and conducting data analysis on big data sets, data lakes in the reputed company.
• Experience developing in Python (required), R, or SQL programs.
• Experience with reputed company Azure required.
• Experience with reputed company (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 (required).
• Experience with Public Health data analysis.
• Possession of excellent analytical, data gathering, and problem-solving skills.
• Knowledge with use of data visualization and dashboarding tools such as PowerBI (preferred).
• Experience supporting multiple reputed company on-going activities.
• Excellent communication and interpersonal skills. reputed company Requirements:
• Must be US Citizen or with the ability to obtain a US Government reputed company clearance (Public Trust 5) reputed company a reasonable period.
• Market competitive salary, commensurate with experience and education.
• Comprehensive benefits package available, Medical, Dental, reputed company and Life Insurance, Paid Time Off (PTO), 401K with company match, growth, and promotion opportunities. Apply tot his job

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