Duke University
Top university
6 days ago
Postdoctoral Associate in Biostatistics and Bioinformatics for Cancer Research at Duke University Duke University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Initial appointment is for two years. Renewal may be considered based on project needs and available funding.
Country
United States
University
Duke University

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About this position
Duke University is advertising a Postdoctoral Associate position in the Department of Biostatistics and Bioinformatics at the School of Medicine in Durham, North Carolina, United States.
The role centers on cancer research with a strong biostatistics and bioinformatics focus. The postdoc will collaborate with investigators inside and outside Duke on projects involving surrogate endpoints for overall survival, prognostic modeling of clinical outcomes in cancer, Bayesian meta-analyses, clinical trial design, variable selection in high-dimensional data, prediction of outcomes, and meta-analysis methodology.
This is a research-intensive opportunity for candidates with a PhD or equivalent in Statistics or Biostatistics. Required skills include solid statistical training, experience with clinical trial data, strong communication skills, programming in R, and UNIX/Linux proficiency. Preferred experience includes Bayesian methods, hierarchical modeling, mixed effects models, survival analysis, and machine learning.
The appointment is onsite at Duke University and is initially for two years, with possible renewal depending on project needs and available funding. Applicants should prepare a CV, a statement of research interests, and three professional references.
Apply via the Duke Careers link in the post.
Funding details
Initial appointment is for two years. Renewal may be considered based on project needs and available funding.
What's required
Doctoral degree (PhD or equivalent) in Statistics or Biostatistics is required. Applicants should have solid training in statistical methods, experience analyzing clinical trial data, excellent written and verbal communication skills, strong programming skills in R, and proficiency working in UNIX/Linux environments. Preferred qualifications include experience with Bayesian statistical methods, hierarchical modeling and mixed effects models, knowledge of survival analysis, and knowledge of machine learning methods. Application materials must include a CV, statement of research interests, and names of three professional references.
How to apply
Prepare a CV, statement of research interests, and three professional references. Submit an application through Duke Careers using the job link provided in the post.
More information can be found here
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