Area: Real World Evidence Analytics
Duration: one year with possibility of extension
Start date: January 1, 2022
Salary: $50,000 plus benefits
The Department of Oncology, Cumming School of Medicine at the University of Calgary is accepting applications for a Postdoctoral Scholar in Real-World Evidence Analytics. Click here to download full details and instructions for application.
The postdoctoral fellow will focus on studies in the analysis of real-world data for cancer outcomes and methods for precision health analytics under the supervision of Drs. Winson Cheung, Professor and Lead for Health Services Research for Oncology in Alberta and Darren Brenner, Associate Professor and Armstrong Investigator in Molecular Cancer Epidemiology at the University of Calgary. Drs Cheung and Brenner are conducting studies focused on the application of novel methods to large datasets and electronic health records in cancer. Priority projects include the development and application of machine learning algorithms, natural language processing, development of risk prediction models and clinical decision support algorithms. Numerous opportunities exist for the successful candidate to contribute to multiple on-going and planned research studies, to develop their own area of research expertise, to publish and present scholarly work, and to obtain additional specialized training.
The successful candidate will have recently graduated (within the last 5 years) with a PhD in Epidemiology, Statistics, Health Services Research, Computer Science, Bioinformatics or Biostatistics and have excellent academic credentials. Evidence of peer-reviewed publications and scholarly presentations is necessary. The individual should be motivated and enthusiastic
about cancer research, the development and application of novel methods and be capable of working independently and have excellent oral and written English communication skills.