Applied Statistics, Data analysis/processing, Statistical organization & administration
The Social & Decision Analytics Division (SDAD) is seeking applications for multiple postdoctoral associates in statistics and social and behavioral sciences. SDAD is a leading laboratory in the Biocomplexity Institute & Initiative (BII) at the University of Virginia. BII performs world-class informatics research in life sciences, social sciences, and human health by integrating theory, modeling and simulation with computational and experimental science in a transdisciplinary, team science research environment.
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.
SDAD researchers address complex social problems by leveraging the diversity of data flows available today including administrative and government records, surveys, social media, and sensors. Through team collaboration, the postdoctoral candidate is expected to develop the capacity to discover, repurpose and redirect these data flows to solve critical social problems. Computational complexity is at the heart of SDAD research and SDAD leverages all the research capability of BII, along with the High-Performance Computing infrastructure.
The positions will be offered at the rank of postdoctoral associate and will be located in BII's location in Arlington, VA. Due to the current conditions as a result of COVID-19, this position has the potential to begin on a teleworking basis with the expectation to work onsite when it is deemed safe to do so.
Applicants must be on track to receive a PhD in statistics, social and behavioral sciences, digital humanities or in a very closely related field. Applicants must hold a PhD at the time of appointment.
Experience with advanced approaches to statistics and data-driven model development.
Experience with statistical software systems such as R, programming, and databases.
Excellent communication skills, both oral and written, demonstrated through the development of publications and delivery of presentations.
Be motivated, enthusiastic and self-driven.
Ability to excel in a highly collaborative team science environment.
Preference will be given to those applicants with:
Experience using diverse sources of data, both traditional ones such as surveys, and non-traditional ones, such as administrative data and social media.
To apply, complete an application online through Workday and attach the following:
Cover Letter detailing your relevant experience and interest in the position
Summary of your coursework
In addition, please have three confidential letters of reference sent to this email address: SDADjobs@virginia.edu.
Please note that you MUST upload multiple documents into the CV/Resume box. Applications that do not contain all the required documents will not receive full consideration.
Review of applications is ongoing and will continue until the positions are filled.
All roles within the institute are restricted positions and are dependent upon project need, availability of funding, and performance. These are one-year appointments; however, appointments may be renewed for an additional two, one-year increments, contingent upon satisfactory performance, the continued available funding and business need.
Questions related to the positions may be directed to Savanna Galambos, Special Assistant for Administrative Affairs. Questions regarding the application process should be directed to Bethany Case, Recruiter.
The University will perform background checks on all new hires prior to employment. This position also requires an Education Verification (FSAKA).
The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library,are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.
Internal Number: R0019903
About Biocomplexity Institute and Initiative - University of Virginia
The Biocomplexity Institute and Initiative at the University of Virginia integrates scientific research – from genetic sequencing to policy analysis – to tackle the complex task of understanding massively interacting systems and predict solutions to issues impacting human health, well-being, and habitat.
As pioneers in biocomplexity, we understand that interactions at the micro level can produce significant effects on the macro scale. We collaborate across many disciplines to discover connections between health, information networks, security and infrastructure.
The foundation of our methodology lies in information biology; the synthesis of mathematics, computation, informatics, and biology. We approach complex problem solving by assembling teams of experts in a variety of fields to work together to create solutions that challenge the very fields in which the teams operate.
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