Key Populations Data Analysis Intern
Posting Number: #257-21
Position Title: Key Populations Data Analysis Intern
Closing Date: Until Filled
Location: Washington, DC/Virtual due to COVID-19
SUSTAINING TECHNICAL AND ANALYTIC RESOURCES
INTERN TITLE: Key Populations Data Analysis Intern
HOST ORGANIZATION: Key Populations Branch, Priority Populations, Integrations and Rights Division, Office of HIV/AIDS, Bureau for Global Health, United States Agency for International Development
LOCATION: Washington, DC/Virtual due to COVID-19
This position is based in Washington DC, however, due to the pandemic, the work mode is currently virtual. Please note that PHI is authorized to do business in many, but not all, states. If you are not located in or able to work from a state where PHI is registered, you will not be eligible for employment. Please speak with your recruiter to learn more about where PHI is registered.
POSITION LEVEL: Masters Intern
SALARY: $1,868.66 bi-weekly
ANTICIPATED TIMEFRAME: 6 Months (Full-Time)*
*Estimated Start: Winter 2022
STAR PROGRAM DESCRIPTION
Sustaining Technical and Analytic Resources (STAR) is a project of the Public Health Institute (PHI) in partnership with the University of California, San Francisco (UCSF), supported by the US Agency for International Development (USAID). STAR is a Global Health talent hub. Through fellowships, internships, and strategic partnerships, STAR supports building the capacity of diverse global health professionals and organizations at all levels to make inclusive, collaborative, and innovative contributions to global health. STAR participants collaborate in the development of systems and tools that strengthen and sustain the local and global health response.
The U.S. Agency for International Development (USAID) continues to be at the forefront of the U.S. Government (USG) response in the fight against HIV/AIDS. USAID is a key partner in the President’s Emergency Plan for AIDS Relief (PEPFAR) and works closely with other USG agencies on this initiative. This position sits within the USAID Office of HIV/AIDS, in the Priority Populations, Integration and Rights Division (PPIR), Key Population and Rights (KPR) Branch.
A priority for PEPFAR is to ensure access to high-quality, comprehensive HIV services for key populations (KP), defined by PEPFAR to include sex workers (SW), gay men and other men who have sex with men (MSM), transgender persons (TG) and people who inject drugs (PWID). PEPFAR supports KP programs across all regions and epidemic types. However, program approaches in sub-Saharan Africa are particularly important given that this is where two-thirds of all people living with HIV reside. In recent years, USAID and PEPFAR have invested heavily in data systems to effectively measure progress toward program targets and epidemic control. Data is now available to track program achievement among key populations reached by clinical and community programs and measure HIV cascades for key populations and other groups.
The Data Analyst Intern (Intern) will support data queries, cleaning and transformation, analysis, and visualization of routine Monitoring, Evaluation, and Reporting (MER) and custom indicator data. These efforts will be guided by strategic information (SI)-focused staff on the KPR team and will involve improvement and documentation of existing tools and processes as well as development of new analytic products to meet emerging needs. The data analyst intern is expected to bring working proficiency and/or coding skills in at least one platform (R, Python, Tableau, PowerBI, SAS, STATA, or other similar tool) and interest in improving their skills, particularly with R and Tableau. He/she should similarly have demonstrated experience discovering insight from data and communication findings visually. They will also support KPR and SI team members at USAID headquarters and in the field to improve data collection, reporting and use of custom indicators in conjunction with official PEPFAR data. They will receive mentorship, support, and training to accomplish these tasks and hone their data skills in the global health arena.
The Intern will work closely with SI-focused staff in the KPR Branch, and receive technical guidance from the KPR Branch Chief, who will serve as their Point of Contact.
By the end of the internship, the Intern will have gained experience and exposure to:
- Use R packages such as ggplot2 and/or Tableau Desktop to design and present KP monitoring data show achievement against targets, analyze trends, and conduct comparative analysis by geographic units, population, partner, or other unit.
- Present data analyses to different audiences including KP-focused Implementing Partners, USAID Mission Staff and USAID headquarters staff.
USAID/Washington KPR Team Support
- Use R, Tableau Prep, SQL, or ETL tools to improve data cleaning, conduct QA/QC, check data for completeness and integrate data from different formats and sources.
- Analyze and visualize data using Tableau Desktop and R (ggplot2).
- Pull data from an existing DHIS2 system using manual queries and provide assistance in development of an API to connect to the data source more efficiently.
- Enhance existing visuals and analytic products built in Tableau or adapt them to add new functionality or comparisons to meet emerging program needs.
- Support KPR team members in standardizing guidelines and processing of custom indicator data by participating in technical workgroups.
- Participate in KPR Team activities including pulling data visuals, revising graphics, supporting editorial changes that will contribute to the lead KP technical backstop review of country programs.
Technical Assistance to the Field
- Provide technical assistance to USAID mission staff on the analysis and interpretation of KP-specific data to improve program implementation.
- Assist USAID country teams in interpreting custom indicator data, improving data quality of custom indicator submissions by discovering and implementing actionable insights from the custom indicator error report dashboards.
- Provide specific country support based on experience and interest.
Anticipated learning outcomes:
All STAR Interns will participate in learning activities (*approximately 10% time) during their internship. By the end of the internship, the Intern will be able to:
- Increase knowledge and skills in strategy development that supports data analysis within Key Populations program implementation.
- Apply effective communication skills across a broad network of peers and advisors within global health to support learning and professional development.
- Deepen understanding of USAID global health programming, policies and organizational culture.
- Currently enrolled masters or other post-bachelor’s degree candidate or completion of such within the past 12 months.
- Proficiency in statistical software (e.g., R, Python, STATA, or SAS) or data visualization tools (e.g., ggplot, Tableau, PowerBI).
- Ability to analyze and synthesize data from different sources/databases (both quantitative and qualitative).
- Demonstrated skills in data cleaning, analysis, and visualization.
- Experience either studying or implementing HIV programs, international health, or human rights preferred.
- Ability to work independently with minimal supervision.
- Excellent analytical, visual, and oral communication skills.
- Strong interpersonal skills and ability to work cross-culturally with diverse teams.
- This position may require travel. Ability to participate in a field experience, which may involve domestic and/or international travel and overnight stays for up to 2 weeks pending lifting of COVID-19 restrictions.
- US Citizenship or US permanent residency required.
SALARY AND BENEFITS
- The Public Health Institute offers a comprehensive benefits package including learning programs.
All applicants are required to apply for this position through STAR’s online recruitment system at recruitment.ghstar.org, which allows you to create a profile and upload a CV/resume and cover letter.
Public Health Institute is proud to be an EEO/AA employer.
*FAIR LABOR STANDARDS ACT (FLSA) STATUS
This position is classified as exempt based on the job duties. However, based on the FTE, salary level of the employee, or federal/state/local laws, the employee may be classified as nonexempt.
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