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

Requirements

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