Biostatistics Postdoctoral Research Associate, Department of Public Health Sciences

UVA Health • Charlottesville, VA

106d • Onsite

About The Position

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 work with Dr. Hong Zhu and a multidisciplinary research team in the development and implementation of novel methods for comparative effectiveness research (CER) using complex observational healthcare data, with application to cancer studies. Additionally, the associate will 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 will involve modeling multilevel survival data in the presence of confounding and missing data, utilizing machine learning approaches, developing computing programs and software, and applying new methods to real-world healthcare data for the CER project. For the U54 projects, responsibilities include planning and conducting database development and data management, designing and performing reproducible statistical analyses, assisting with abstract and manuscript preparation, and developing and implementing 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. Postdoctoral employment is temporary and is normally limited to an individual who has been awarded a Ph.D. or equivalent doctorate within the previous five years and who will be involved in full-time research or scholarship at the University. Employment as a Postdoctoral Research Associate is viewed as training and is preparatory for a full-time academic or research career, is supervised by a senior scholar, and allows the appointee to publish the results of his/her research or scholarship during the training period.

Requirements

• PhD in biostatistics, statistics, or a related quantitative field, by the appointment start date

Nice To Haves

• Strong background and experience in survival analysis, missing data methods, causal inference, machine learning, and clinical biostatistics
• Proficiency in R, SAS/STATA, Python, and/or Markdown
• Excellent written and verbal communication skills

Responsibilities

• 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
• 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
• Participate in the development of publications for peer-reviewed journals and grant proposals to funding agencies

Benefits

• Benefited position
• UVA benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree