Postdoctoral Research Fellow in Computational Modelling and Stem Cell Therapy

Ottawa Hospital Research Institute (OHRI) / National Research Council of Canada (NRC)
Ottawa, ON, Canada
Job Type:
  • Postdoctoral (2 years renewable)
Degree Level Required:
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Postdoctoral Research Fellow in Computational Modelling and Stem Cell Therapy

The Department of Biochemistry, Microbiology and Immunology at University of Ottawa, and Ottawa Hospital Research Institute (OHRI) is seeking a computational genomics postdoc follow for a full-time position applying and developing dynamic modelling or machine learning techniques to study stem cell growing, expansion and differentiation at different therapy conditions for muscle degenerative diseases. The position is part of the recently funded project “AI powered design of stem cell therapy for degenerative muscle diseases” selected through the National Research Council Canada (NRC) AI for Design Challenge Program. This is a multidisciplinary project led by Dr. Theodore J. Perkins (the leader of the Machine Learning in Genomics group, OHRI) and Dr. Xiaojian Shao (Research officer at NRC) and involves stem cell biologists from the regenerative medicine program at OHRI. The position is offered for an initial two (2) years with possibility for extension and is available immediately. The successful candidate will be highly motivated, independent and collaborative. The applicant will lead the data analysis and computational modelling through consulting with supervisors and other AI experts at NRC. The applicant will also work closely with wet-lab colleagues to test and validate the developed models on in-house experimental data. We offer a highly stimulating environment with state-of-the-art infrastructure including sophisticated HPC environment, and a competitive salary commensurate with the qualifications and experience of the candidate as well as an excellent benefits package.


● Analyze publicly available and in-house multi-omics data, particularly on single cell RNA-seq datasets ● Apply/develop machine learning algorithms for predicting stem cell state of maturity and cell-cell interaction/communications involved in the muscle stem cell regeneration ● Collaborate with both wet-lab experts and dry-lab researchers ● Conduct high-quality research, write peer-review articles and present research at national and international conferences and meetings


● PhD in computational biology, computer science, applied mathematics, genetics or a related field ● Documented experience with computational modelling development, knowledge of machine learning and deep learning (particularly graph convolutional networks) is an advantage ● Strong publication records with evidence for writing scientific manuscripts independently ● Proficiency in programming (particularly in python/R) ● Experience with analysis of genomics data sets (particularly in single cell RNA-seq) ● Good spoken and written communication skills in English

  • How to Apply

    Please send in one PDF that contains a cover letter outlining motivations, career goals, and brief description of research experience and interests, as well as a CV with list of publications and relevant techniques and contact information for three references (name, relation to candidate, email and phone number).

Additional Information

The Ottawa Hospital Research Institute (OHRI) is an Affiliated Research Institute of the University of Ottawa and the research arm of The Ottawa Hospital. The OHRI has grown rapidly to become one of the largest and most important hospital-based research institutes in Canada. The regenerative medicine program is unique in Canada and internationally because of its multidisciplinary culture in which developmental, cell and molecular biologists, work together with bioinformaticists, clinical scientists and clinicians in teams and common facilities. The National Research Council of Canada (NRC) is Canada’s largest federal research and development organization, supporting industrial innovation, the advancement of knowledge and technology development. We collaborate with over 70 colleges, universities and hospitals annually, work with 800 companies on their projects, and provide advice or funding to over 8000 Small and Medium-sized Enterprises (SMEs) each year.