Data Science Advisor, Arlington, VA, United States 71 views

Position Detail

Title : Data Science Advisor-

Location : Arlington, VA US

Number : STAR-P1-079-*

Status : Open

Close Date : 04/30/2020


  • Are you able to travel 25% of the time?
  • Are you a US citizen or US permanent resident?
  • Summary


    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


    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).


    The STAR Fellowship is a two-year global health and learning opportunity with:

  • Individualized, tailored support to enhance the fellow’s achievement personal and professional goals
  • Personalized learning plans and access to learning resources (courses, conferences, mentoring) based on fellow’s learning style and preferences.
  • Access to broad professional networks to enhance peer learning and knowledge sharing.


    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.

    Reporting structure:

    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:

  • Apply data science techniques to priority international development challenges.
  • Assist USAID subject matter experts with data science focused analytical thinking for improved planning, monitoring, evaluation, and reporting of programs.
  • Design, develop and deliver data analysis and visualization products to support USAID/OHA operations at all stages of the development programming cycle.
  • Acquire, process, manage, and analyze data from a range of sources for improved decision making.
  • Collaborate with data analysts and program experts across USAID to develop, streamline, and improve existing and emerging PEPFAR and USAID Strategic Information systems, processes, and coordination.
  • Build agency capacity on data analysis:

  • Provide consultation to non-technical audiences and develop and implement guidance on integrating data and analysis in routine decision-making processes.
  • Prepare concept papers, background analyses, and briefings to build support for the use of data analytics and data science techniques throughout the USAID.
  • Facilitate discussion among key USAID stakeholders to articulate a vision and plan for integrating data science into planning, delivering, and assessing development programs.
  • Lead and conduct trainings to improve the skill sets of headquarters and field staff in the areas of data analysis and visualization through statistical software packages (eg. R, Stata, Excel) and visualization tools (eg. Tableau, ArcGIS/QGIS, R, Excel, and Inkscape/Adobe Illustrator).
  • Anticipated learning outcomes:

  • Required 10% time
  • Develop an understanding of how to apply core global health competencies defined as development practice, cross cultural awareness, communication, capacity strengthening, ethics of public health, health equity, gender equality and global burden of disease to global health practice.
  • Apply technical knowledge in health information systems and strategic information development to global health program activities.
  • Identify and leverage a broad network of peers and advisors within global health to enhance peer support learning and professional development.


  • Minimum 7 years of relevant technical experience with a master’s degree in Statistics, Math, Computer Science, Economics, Engineering, or a related technical field or a minimum 9 years of relevant technical experience with a bachelor’s degree.
  • Strong quantitative background; experience in data collection, management, cleaning, processing, and applied analysis using one or more of these statistical software or programming languages (Python, Stata, SAS, R, SPSS, MATLAB, Tableau, PowerBI).
  • Ability to produce compelling data visualization products.
  • Curious, self-motivated individual with excellent communications skills — must be able to distill highly technical quantitative methods into policy relevant snippets.
  • Experience translating analysis into briefing documents or presentations for senior leadership.
  • Ability to apply data science analytical techniques to problems and data sets spanning diverse sectors as agriculture, democracy & governance, economic growth, education, environment, and health.
  • Ability to travel internationally at least 25% of the time.
  • US citizenship or US permanent residency required.

    All applicants are required to apply for this position through STAR’s online recruitment system at, 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.

    Public Health Institute is proud to be an EEO/AA employer.

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