Postdoctoral Research Fellowship: Princess Margaret Cancer Centre-Kumar Lab

150 150 Office of Research Trainees

University Health Network (UHN) is looking for an experienced professional to fill the key role of Postdoctoral Fellow in our Medical Biophysics Department at the Princess Margaret Cancer Centre.

Transforming lives and communities through excellence in care, discovery and learning.

The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of ground breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.

University Health Network (UHN) is a research hospital affiliated with the University of Toronto and a member of the Toronto Academic Health Science Network. The scope of research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. Research across UHN’s five research institutes spans the full spectrum of diseases and disciplines, including cancer, cardiovascular sciences, transplantation, neural and sensory sciences, musculoskeletal health, rehabilitation sciences, and community and population health. Find out about our purpose, values and principles here.

The Kumar Lab at the Princess Margaret Cancer Centre and The University of Toronto is seeking a Postdoctoral Fellow to study cancer biology on the genetic and molecular levels by utilizing integrative computational approaches. Our research interests include developing and applying novel computational frameworks that leverage large-scale multi-omics and biomolecular structural data to identify clinically actionable cancer biomarkers and study tumor evolution. This position will offer ample opportunities to collaborate with a diverse group of clinicians, experimental and computational biologists at the Princess Margaret Cancer Center, University of Toronto, and beyond. This position will also provide abundant opportunities to mentor graduate and undergraduate students at the University of Toronto. Beyond research and mentoring experiences, the post-doctoral scientist will have opportunities to apply for various internal and external fellowships and grants to start their independent career.


  • PhD degree obtained within the last five (5) or MD within the last ten (10) years
  • PhD in computational biology, computer science, statistics, or a related field
  • Proficiency in at least one programming language (C/C++, R, Python)
  • Experience working in a Unix-based environment
  • Prior experience in analyzing next-generation sequencing data, machine learning, and biostatistics is preferred
  • Prior experience in working on high-performance clusters or cloud computing environments is preferred
  • Prior publication record with at least two first author (including join first) papers/preprints
  • Excellent organizational and analytical skills and a high degree of independence and flexibility to thrive in a novel and rapidly evolving research environment
  • Track record of teaching and mentoring students
  • Ability to communicate and work effectively with a diverse team of clinicians and scientists, including post-docs, students, and staff members

Vaccines (COVID-19 and others) are a requirement of the job unless you have an exemption on a medical ground pursuant to the Ontario Human Rights Code.

Posting Date: December 9, 2021          Ending Date: Until Filled

More information and apply here.