Postdoctoral Fellows

Postdoctoral Fellows

Jobs for Humanity is collaborating with Upwardly Global and with Indiana University to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life. Company Name:
Indiana University

Title:

Postdoctoral Fellow in Biostatistics and Health Data Science Specific Title Appointment Type:
Postdoctoral Fellow Department: IUSM - Biostatistics Campus: IU School of Medicine Indianapolis

Position Summary:

We are seeking multiple highly motivated Postdoctoral Fellows interested in developing and implementing 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 selected candidate will have the opportunity to learn and develop new statistical methods and designs in clinical research, write and co-author manuscripts for high-quality peer-reviewed journals, and co-submit grant proposals to secure external funding. In addition, this position will have many opportunities to collaborate with other interesting relevant projects within the Indiana University School of Medicine and MD Anderson Cancer Center.

IUSM is committed to being an institution that reflects the learners we teach and the patient populations we serve and pursues the values of equity and inclusion that inform academic excellence. We desire candidates whose work contributes to equitable and inclusive learning and working environments for our learners, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.

Basic Qualifications:

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.