The Work: Working with large, multiyear HIV monitoring and evaluation data sets, the Senior Health Data Scientist will provide end-to-end analytic support producing information to improve the efficiency, effectiveness, and impact of interventions that address the global HIV/AIDS epidemic and meet the UNAIDS 90-90-90 goals.
Key Responsibilities:
The Senior Health Data Scientist will work with multi-disciplinary teams to:
Define new analytic questions to advance data analytic capabilities and data use
Elicit, gather, and document data analytic requirements from multiple stakeholders using different methods such as virtual meetings, shared documents, and surveys
Conduct data transformation and analysis using various tools i.e. R, Python, Power BI, XLS etc.
Describe results in a variety of formats for varied audiences
Understand context of data by triangulating with multiple data sources (e.g., programmatic guidance, historic and narrative data sources)
Maintain data analytic documentation and artifacts in a central repository i.e., in SharePoint, Confluence, JIRA
Facilitate or support both internal and external meetings with various project stakeholders
Develop and provide content and subject-matter knowledge and expertise in PEPFAR data to the team and project stakeholders
Contribute to identifying novel opportunities for analyzing data from diverse data streams that represent different PEPFAR activities
Required Qualifications:
Bachelor’s degree in public health, health informatics, data science, statistics, or epidemiology
5+ years work experience writing complex data analytic code using R, Python, SAS, Stata, SPSS, SQL, or Excel to extract and manipulate datasets from large data repositories and databases
5+ years work experience using at least two business intelligence tools such as Tableau, Power BI, MicroStrategy
5+ years work experience data wrangling, management, transformation, and cleaning
3+ years working with PEPFAR indicators and datasets
Desired Qualifications:
1+ yrs Experience working with Ministries of Health in low- and middle-income countries LMICs
Proactive in learning new data analytic languages and products to find new solutions for client problems
Apply via :
icf.wd5.myworkdayjobs.com
