A full-time postdoctoral fellow position is available in Dr. Yong Zang’s lab in the Department of Biostatistics and Health Data Science at The Indiana University School of Medicine in Indianapolis, Indiana.
We are seeking highly motivated candidates interested in developing and applying novel Bayesian adaptive designs for oncology clinical trials. The ideal individual will have a strong history in coding in R, SASS, and/or Python, Bayesian computing, statistical modeling, and clinical data analysis methods development. Prior knowledge with clinical trial development is a plus. The fellows will work with an interdisciplinary team spanning multiple departments, centers, and institutes with a common goal of creating and evaluating novel statistical designs in clinical research.
The minimum qualifications for a successful candidate include:
- Completed PhD in biostatistics, statistics, computer science, or a related discipline.
- Strong skills in statistical model development and implementation. Prior knowledge in clinical trial research is a plus.
- Strong programming skills in R, SASS, and/or Python, experience with Bayesian computing software.
Application information:
- Letter of intent, including a brief summary of past and current research
- CV
- Writing sample if available (published or arXiv/bioRxiv manuscript)
- Contact information of three references
If interested, please email to Dr. Yong Zang (zangy@iu.edu).