Postdoctoral fellowship in computational biology and cancer epigenetics

Princess Margare Cancer Centre, University Health Network
Toronto, ON, Canada
Job Type:
  • Postdoctoral
Degree Level Required:
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Postdoctoral fellowship in computational biology and cancer epigenetics

The Princess Margaret Cancer Centre at the University Health Network (UHN) is seeking an outstanding postdoctoral fellow to lead translational research projects in a highly interdisciplinary environment. Dr. Daniel De Carvalho, PhD and Dr. Scott Bratman, MD PhD are leading studies on liquid biopsies for cancer diagnosis and biomarker discovery. Their landmark studies on circulating cell-free DNA (e.g., Newman/Bratman et al, Nature Medicine 2014; Shen et al, Nature 2018) have led to new ways of examining cancer burden and tumor biology in patients. Ongoing and future work will continue to pursue innovative approaches to liquid biopsy analysis to maximize clinical translation and patient impact.

The successful candidate will have an outstanding research track record during their PhD as evidenced by published high impact work in computational biology, bioinformatics, data science, or related fields with a focus cancer, genetics, and/or epigenetics. Candidates with expertise in genomics/epigenomics/transcriptomics, liquid biopsies, statistical modeling, and AI/machine learning approaches in biomedicine are especially encouraged to apply. Programming experience for prior research and familiarity with high performance computing environments would be considered strong assets. The successful candidate will be expected to have strong communication skills and the ability to work well as part of a team.

The Princess Margaret Cancer Centre, one of the top cancer research centres worldwide, is situated in a rich environment for cancer research in downtown Toronto. The Princess Margaret Cancer Centre is a member of the University Health Network (UHN), Canada’s largest research teaching hospital with a long tradition of ground-breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”. UHN is a respectful, caring, and inclusive workplace. We are committed to championing accessibility, diversity and equal opportunity. All qualified candidates are encouraged to apply.


  • Develop new analytical methods for circulating cell-free DNA
  • Analyze genomic/epigenomic data from cell-free DNA obtained from cancer patients and other populations
  • Integrate cell-free DNA data with other sources of tumor genomic/epigenomic data
  • Work with a multidisciplinary research team including basic, translational, and clinical researchers
  • Publish results in high impact journals


  • A PhD degree in computational biology, bioinformatics, computer science, health sciences, or related disciplines
  • PhD must be obtained within 5 years of start dateStrong communication skills
  • Ability to work well as part of a team
  • Experience in the use of Unix/Linux, R, and statistical approaches to analyze and visualize genome-scale data sets
  • Statistical modelling and machine learning skills
  • Experience in high-performance computing environments
  • How to Apply

    Interested candidates should send their CV, names and contact information of 3 references, and a description of their research interests to Dr. Scott Bratman, Clinician-Scientist, Princess Margaret Cancer Centre; E-mail: