Biostatistics Postdoctoral Research Associate, Department of Public Health Sciences

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The mission of the University of Virginia School of Medicine is to transform health and inspire hope for all Virginians and beyond. The vision is to be the nation’s leading public academic School of Medicine and the best place to work-while transforming patient care, research, education and management with the communities we serve. The Department of Public Health Sciences aims to advance evidence and knowledge for the health and well-being of all communities.

The department is highly collaborative, working closely with others across the School of Medicine and the University of Virginia to improve the health of people in Virginia, the United States, and across the globe.

The Biostatistics Division in the Department of Public Health Sciences in the School of Medicine at the University of Virginia (UVA) is seeking a highly motivated post-doctoral research associate. The research associate will (i) work with Dr. Hong Zhu and a multidisciplinary research team in development and implementation of novel methods for comparative effectiveness research (CER) using complex observational healthcare data, with application to cancer studies;

and (ii) collaborate on and support multiple interdisciplinary research projects funded by a multi-institution, NCI-funded, U54 Specialized Program of Research Excellence (SPORE) grant on childhood acute lymphoblastic leukemia, under the supervision of Dr. Hong Zhu, Co-Director of U54 Biostatistics and Data Management Core.

The work for this position will include (i) For CER project:
Model multilevel survival data in the presence of confounding and missing data, machine learning approaches as appropriate;
Develop computing programs and software;
Apply new methods to real-world healthcare data; and (ii) For U54 projects:
Plan and conduct database development and data management;
Design and perform reproducible statistical analyses for interim and final reports;
Assist with abstract and manuscript preparation;
Develop and implement innovative procedures in data collection, data management, presentation of results, and statistical analyses. The selected candidate will be expected to participate in the development of publications for peer-reviewed journals and grant proposals to funding agencies.

Minimum Qualifications:

Qualified candidates must have a PhD in biostatistics, statistics, or a related quantitative field, by the appointment start date.

Preferred Qualifications:

Strong background and experience in survival analysis, missing data methods, causal inference, machine learning, and clinical biostatistics are preferred, including proficiency in R, SAS/STATA, Python, and/or Markdown. Excellent written and verbal communication skills are required.

This is an exempt-level, benefited position. Learn more about UVA benefits.