- Professional training through development workshops and seminars
- Individualized mentors working closely with students
- Technical report and publication opportunities
- Opportunity to interact with decision-makers in industry and government agencies and attend policy events on Capitol Hill and around Washington, D.C.
- Horizontally and vertically integrated team research with dedicated graduate students, postdocs, and faculty in collaboration with sponsors from local, state, and federal governments
- Expert training in essential tools for statistical computing, including Hadoop, R, Python, and GIS
- Additional program information
- DSPG projects and young scholars
Undergraduate students in any discipline and graduate students (MS or PhD) with quantitative/analytical skills enrolled at any U.S. university are encouraged to apply. The positions (10+ undergraduate interns and 5+ graduate students) will be located at the Biocomplexity Institute's Arlington, VA office. These are paid positions. For questions about the application process, please contact Jen Krahn, HR specialist, at email@example.com.
We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, martial status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.
To apply, please submit an application online through Workday. Have your CV, transcript, and cover letter detailing your relevant experience and interest in the position ready! Please have three confidential letters of reference sent to firstname.lastname@example.org. The deadline for applications is February 14, 2020.
At the end of the program, scholars have an opportunity to present their research at the DSPG Annual Symposium, a signature event of the DSPG Forum that brings together a community of scientists, scholars, researchers, and policy-makers hoping to gain insight on using data science to positively transform the areas where we live, work, and play.
The Annual Symposium will take place in early August, and features several keynote speakers and poster presentations by the young scholars. The 2019 Symposium keynote speakers and the young scholar poster speed session are available on YouTube.
The Social and Decision Analytics division (SDAD) is one of three research divisions within the Biocomplexity Institute at the University of Virginia. SDAD combines expertise in statistics and social and behavioral sciences to develop evidence-based research and quantitative methods to inform policy decision-making and evaluation. The researchers at SDAD span many disciplines including statistics, economics, sociology, psychology, political science, policy, health IT, public health, program evaluation, and data science. The SDAD office is located near our nation's capital in Arlington, VA.