Duke University, Biostatistics & Bioinformatics

Position ID:Duke-Biostatistics & Bioinformatics-PD237222 [#25968]
Position Title: AI Health Postdoctoral Associate - Biostatistics & Bioinformatics
Position Type:Postdoctoral
Position Location:Durham, North Carolina 27710, United States [map] sort by distance
Subject Areas: Statistics / Statistics
Clinical Research
Appl Deadline: withdrawn (posted 2023/09/27)
Position Description:    

Postdoctoral Associate in Developing Methods to Improve Efficiency and Robustness of Clinical Trials Using Historical Controls and Real-World Data

Description
Duke University and North Carolina State University (NCSU) invite applications for a full-time postdoctoral associate to conduct research on causal inference and analytic methods for data integration, with a focus on innovative statistical methods that boost the efficiency and robustness of clinical trials by incorporating real-world data and taking into account hidden biases. The position will be funded by a recent FDA U01 grant and other funding sources. The position will be primarily based in the Department of Biostatistics & Bioinformatics, Duke University School of Medicine, under the supervision of Dr. Xiaofei Wang. The postdoctoral associate will also work closely with Dr. Shu Yang from the Department of Statistics at NCSU, and other clinical and methodology investigators from Duke University, Brown University and Eli Lilly & Company. 

Under the guidance of the PIs, co-investigators and collaborators, the postdoctoral associate will be responsible for developing new statistical methods to empower clinical trials by harnessing external historical controls or other type of auxiliary information from existing clinical trials or real-world data. She/he will use analytic and Monte Carlo methods to compare the new designs and methods with existing designs and methods in binary, continuous, and time-to-event outcomes. She/he will help develop R/SAS software for the proposed statistical methods. The postdoctoral associate will also work closely with all investigators of this project to extract relevant data from existing clinical trials and large observational studies or population-based databases from multiple diseases areas, including Alzheimer's disease and lung cancers. The postdoctoral associate will attend regular face-to-face or virtual meetings of the study team and the meetings with the FDA. We expect the postdoctoral associate to be the leading author or a co-author on statistical or medical publications and to disseminate research findings at professional conferences. 

To forge closer collaboration with statistical and medical investigators, the successful applicant will be assigned offices with access to computing facilities in Duke and NCSU and will spend time at both Duke and NCSU, and other institutions depending on the need. 

The initial offer of the position will be one year and is subject to be renewed depending on the performance. We seek candidates willing to commit to at least 2 years on this project. 

Qualifications 
• Recent doctoral degree in Statistics, Biostatistics or related fields 
• Strong interest in developing novel statistical methods motivated by medical research needs 
• Background on causal inference and/or survival analysis 
• Experience with machine learning and high-dimensional statistics (desirable but not required) 
• Strong statistical computing skill in R and SAS 
• Excellent writing and communication skills


Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


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Web Page: https://biostat.duke.edu/