Postdoctoral Fellows

Indiana University

Bloomington, United States
On-site
Strong programming skills in r, sas, and/or python
Experience with bayesian computing software
Completed phd in biostatistics or related discipline
Indiana University is seeking multiple Postdoctoral Fellows to work on novel Bayesian adaptive designs for oncology clinical trials. Candidates should have a PhD in a relevant field and strong programming skills, particularly in R, SASS, or Python, along with an interest in health equity and inclusive research practices

Job Summary

  • The position involves developing and implementing novel Bayesian adaptive designs for oncology clinical trials.
  • Fellows will collaborate with an interdisciplinary team to create and evaluate statistical methods in clinical research.
  • Selected candidates will have opportunities to co-author manuscripts and submit grant proposals for external funding.

Matching Summary

Match Score: 85

Indiana University is seeking multiple Postdoctoral Fellows to work on novel Bayesian adaptive designs for oncology clinical trials. Candidates should have a PhD in a relevant field and strong programming skills, particularly in R, SASS, or Python, along with an interest in health equity and inclusive research practices.

Skills & Requirements

Must-have

  • Strong programming skills in R, SAS, and/or Python
  • Experience with Bayesian computing software
  • Completed PhD in biostatistics or related discipline

Nice-to-have

  • Prior knowledge in clinical trial research
  • Interdisciplinary collaboration experience
  • Grant proposal submission experience

Key Requirements

  • PhD in biostatistics, statistics, computer science, or related field
  • Strong history in coding and statistical modeling
  • Experience with clinical data analysis methods development

Work Rights

Not specified

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