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Data Scientist 2
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Job Location

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Richmond - USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 1960056

Equinox Consulting Partners is seeking a skilled Data Scientist for a REMOTE position with our client based in Richmond, VA. The Data Scientist will play a critical role in the agency s goal of linking data to clinical outcomes data. This is a REMOTE position, however, only candidates local to the Richmond, VA area will be considered.

Skills :

  • Completion of the data linkage between VA PRAMS and All Payers Claims Data, Hospital Discharge Data, and other Clinical outcomes data as needed.
  • Completion of data analysis of the linked PRAMS data set with identification of relationships between MCH behaviors and demographic factors, and clinical outcomes. a. Identifying themes specific to particular subpopulations (i.e. race/ethnicity, age group, insurance status, etc.) b. Table of quantitative findings- frequencies, confidence intervals, odds ratios, p-values c. Written narrative summarizing the quantitative findings d. Written/submitted abstract summarizing the process and quantitative findings
  • Preparation of a PowerPoint detailing the quantitative findings for use by VDH MCH programs/staff in stakeholder outreach. In addition, the contractor will fulfill needs of the ASTHO grant, participating in the learning community, including the following:
  • Develop a standard methodology for linking data sets consisting of PRAMS and clinical outcomes data to inform future activities supporting Patient-Centered Outcomes Research in maternal and child health. Finalize all documentation needed for data linkages and data sharing, such as Memorandums of Agreement, Institutional Review Board approvals, and/or data sharing and use agreements. a. States may also show documentation to demonstrate existing processes and templates for data sharing and linkages, and/or should include a timeline for finalizing these agreements with partners as part of the application.
  • Conduct data linkages and analysis resulting in de-identified linked datasets.
  • Collaborate with the project Interagency Advisory Workgroup to identify priority activities that facilitate improved data linkage, share successes, and build sustainability plans. Participate in partner activities throughout the Learning Community to troubleshoot barriers, share best practices, and build upon successes.

Employment Type

Full Time

Company Industry

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80 employees
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