Data Analyst/Scientist

InnoSoul•Richmond, VA

1d•Hybrid

About The Position

The purpose of this position is to fulfill the needs of an ASTHO grant awarded to the VDH PRAMS program to link RAMS data to clinical outcomes data. The role involves providing weekly updates on project status, completing data linkage between VA PRAMS and All Payers Claims Data, Hospital Discharge Data, and other clinical outcomes data. It also includes conducting data analysis of the linked PRAMS data set to identify relationships between MCH behaviors and demographic factors, and clinical outcomes. This involves identifying themes specific to subpopulations, creating tables of quantitative findings, summarizing findings in written narratives, and preparing abstracts. Additionally, the role requires preparing a PowerPoint detailing quantitative findings for VDH MCH programs/staff. The contractor will also participate in the ASTHO grant's learning community, attending virtual learning sessions, technical assistance calls, and team-to-team learning opportunities. This includes developing and implementing an action plan, submitting progress reports, and participating in technical assistance site visits or conference calls. The role involves providing information for needs assessments and key informant interviews to assist ASTHO, obtaining documentation for data dictionaries, and developing a standard methodology for linking PRAMS and clinical outcomes data. Finalizing documentation for data linkages and data sharing, such as MOAs, IRB approvals, and data sharing agreements, is also required. The position involves conducting data linkages and analysis to create de-identified linked datasets and collaborating with the Interagency Advisory Workgroup to identify priority activities, share successes, and build sustainability plans. Participation in partner activities to troubleshoot barriers, share best practices, and build upon successes is expected.

Requirements

Graduation from an accredited college or university with course work in public health, epidemiology, or biostatistics or equivalent combination of education, training, and/or experience.
Considerable knowledge of methods of public health surveillance.
Working knowledge of biostatistics, analysis and interpretation of data, and data management techniques.
Working knowledge of statistical software packages (SAS, R, or STATA), visualization tools (ArcGIS or Tableau), and data management and survey tools (REDCap).
Demonstrated ability to develop program goals and objectives and to evaluate program effectiveness.
Demonstrated ability to collect, quality assure, analyze, interpret, and present statistical data.
Demonstrated ability to communicate effectively orally and in writing with health care professionals and the general public.
2-3 years relevant work experience.
A master's degree from an accredited college or university in public health, science, or social science with concentration in epidemiology, biostatist
Demonstrated ability to lead and direct the work of others in a project management capacity
Experience with conducting surveillance, assessments, research studies or prevention activities related to maternal and child health
Candidates should be local to Richmond, VA

Nice To Haves

project coordination
biostatistics
SAS
R
STATA
ArcGIS
Tableau
REDCap
healthcare experience

Responsibilities

Provide weekly updates regarding the status of the project
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.
Identifying themes specific to particular subpopulations (i.e. race/ethnicity, age group, insurance status, etc.)
Table of quantitative findings- frequencies, confidence intervals, odds ratios, p-values
Written narrative summarizing the quantitative findings
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.
Attend all Learning Community activities, including ASTHOConnects virtual learning sessions, technical assistance calls, team-to-team learning opportunities, evaluation calls, and additional assessments.
Develop and implement an action plan, submitting regular progress reports, and participating in technical assistance site visits or conference calls with ASTHO staff, as needed.
Provide information via needs assessments or key informant interviews to assist ASTHO in better understanding barriers to data linkage to inform and refine technical assistance needs.
Obtain all documentation needed for data dictionaries.
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.
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.