University of Virginia Looking for Postdoctoral Research Associate (SDAD) – Biocomplexity Full Time

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.

To learn more about SDAD and BII, please visit us at biocomplexity.virginia.edu.  
Required Qualifications:

•     Applicants must be on track to receive a PhD in statistics, social and behavioral sciences, digital humanities or in a very closely related field by June of 2020 and 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:

•     CV
•     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: [email protected].

***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.***

Process for External Applicants: Please apply through Workday, and search for ‘R00XXXX.

Process for Internal UVA Applicants: Please apply through your Workday Home page, search “Find Jobs,” and search for ‘R00XXXX’

Review of applications is ongoing and will continue until the positions are filled.
Questions related to the positions may be directed to Savanna Galambos, Special Assistant for Administrative Affairs, [email protected]. Questions regarding the application process should be directed to Daniel Strong, Senior Recruiter,  [email protected].

All roles within the institute are restricted positions and are dependent upon business need, availability of funding, and satisfactory 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.

The University will perform background checks on all new hires prior to employment.  This position also requires an Education Verification (FSAKA).

MINIMUM REQUIREMENTS

Education: Doctoral degree
Experience: None
Licensure: None

PHYSICAL DEMANDS

This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.
COVID Vaccination Requirement and Guidelines

Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA.

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.