Title : Data Science Advisor-
Location : Arlington, VA US
Number : STAR-P1-079-*
Status : Open
Close Date : 04/30/2020
SUSTAINING TECHNICAL AND ANALYTIC RESOURCES
FELLOWSHIP TITLE: Data Science Advisor
HOST ORGANIZATION: Strategic Information, Evaluation and Informatics Division, Office of HIV/AIDS, Bureau for Global Health, United States Agency for International Development
LOCATION: Arlington, VA
POSITION LEVEL: Mid-Career Technical Advisor
TRAVEL: 25% estimated travel
STAR PROGRAM DESCRIPTION
Sustaining Technical and Analytic Resources (STAR) is a project of the Public Health Institute (PHI) supported by the US Agency for International Development (USAID) Global Health (GH) Bureau. Its purpose is twofold: (1) Through individual fellowships, STAR will help strengthen the capacity of diverse American and low-and-middle-income country (LMIC) health professionals at all levels to make innovative contributions to global health (GH); and (2) STAR will create ground-breaking opportunities for both US and LMIC GH academic institutions and other groups, including professional associations, to create systems for open-access knowledge sharing, resulting in effective partnerships. STAR’s individual and institutional participants are contributing to the development of self-sustaining systems and tools that will produce global citizens with the full spectrum of relevant health competencies. STAR is managed by the Public Health Institute and implemented in partnership with Johns Hopkins University (JHU), the University of California, San Francisco (UCSF), and the Consortium of Universities for Global Health (CUGH).
ABOUT THE FELLOWSHIP
The STAR Fellowship is a two-year global health and learning opportunity with:
FELLOWSHIP OPPORTUNITY DESCRIPTION
The Bureau for Global Health’s Office of HIV and AIDS (OHA) is the locus of technical leadership for HIV and AIDS programming implemented by USAID. The Office provides input into USG decisions concerning the strategic allocation of financial and human resources in the sector and supports USAID headquarters and field missions in designing and implementing effective HIV and AIDS programs. Within OHA, the Strategic Information, Evaluation, and Informatics (SIEI) Division provides strategic direction, technical leadership, and implementation support to USAID HQ, Missions, and the interagency in managing and utilizing PEPFAR program and financial data and systems to ensure accountability and demonstrate progress towards epidemic control. The SIEI Division is hiring two Data Science Advisors, one who will be a member of the Health Informatics Team and one who will be a member of the Evaluation Team in the SIEI Division.
The Data Science Advisor (Advisor) provides leadership and technical expertise in conducting advanced analytics to better inform HIV/health programming through complex relationships with and between PEPFAR Measurement, Evaluation, and Research (MER) data and country-specific or survey data. They are responsible for working with subject matter experts to address priority development challenges and enhance the Agency’s capacity to integrate data and analysis into routine decision making.
The Advisor in the Health Informatics Team will work closely with and receive technical direction from the Health Informatics Branch Chief, who will serve as their Onsite Manager. The Advisor in the Evaluation Team will work closely with and receive technical direction from the Evaluation Branch Chief, who will serve as their Onsite Manager.
Essential Duties and Outcomes:
Enhance quality of data science and analytical support across OHA:
Build agency capacity on data analysis:
Anticipated learning outcomes:
All applicants are required to apply for this position through STAR’s online recruitment system at https://www.ghstar.org/, which allows you to store your CV/resume and separate cover letter describing your qualifications and experience, interest and familiarity with issues relating to this position, and how this position relates to your career goals is required for each application. All online applications must be submitted by April 30, 2020 by 5:00 pm Eastern time.
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