Postdoctoral Researcher

Company Description

UHN is Canada’s #1 hospital and the world’s #1 publicly funded hospital. With 10 sites and more than 44,000 TeamUHN members, UHN consists of Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute, The Michener Institute of Education and West Park Healthcare Centre. As Canada's top research hospital, the scope of biomedical research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care. UHN has the largest hospital-based research program in Canada, with major research in neurosciences, cardiology, transplantation, oncology, surgical innovation, infectious diseases, genomic medicine and rehabilitation medicine. UHN is a research hospital affiliated with the University of Toronto.

UHN’s vision is to build A Healthier World and it’s only because of the talented and dedicated people who work here that we are continually bringing that vision closer to reality.

www.uhn.ca

Job Description

Union: NON-UNION
Number of Vacancies: 1
Site: MaRS
Department: Research
Reports to:  Senior Scientist
Hours: 37.5 Hours Per Week
Shifts: Mon-Fri Day Shifts
Status: Temporary Full-Time
Closing Date: July 23, 2025

Position Summary:
We are seeking a highly motivated postdoctoral fellow to join our research team to lead projects using artificial intelligence (AI) in radiology. The successful candidate will support and lead image-based projects focused on developing and validating machine learning and deep learning approaches for quantitative image analysis (e.g., radiomics). Responsibilities include mentoring graduate students, contributing to manuscript writing and editing, and maintaining and enhancing image processing pipelines for high-throughput analysis of clinical imaging data.

The selected candidate will play a key role in driving interdisciplinary collaborations within the University Health Network (UHN) and with external partners. Additional duties include assisting in grant preparation, contributing to project design and analysis, and supporting hypothesis-generating studies across a range of clinical domains. Candidates should have a strong background in medical imaging, data science, or a related field, with demonstrated experience in computational research and scientific writing.

The candidate will be working in the Haibe-Kains Lab at the Princess Margaret Cancer Centre, University Health Network.  

Duties:

• Streamline radiomics pipelines for preprocessing, segmentation, and feature extraction to enable high-throughput analysis of clinical imaging data.

• Perform statistical and machine/deep learning analyses to identify and validate imaging biomarkers predictive of treatment response or prognosis.

• Integrate imaging data with clinical and molecular datasets for multi-modal biomarker discovery.

• Collaborate with radiologists, oncologists, data scientists, and external partners to design and execute translational imaging studies.

• Contribute to grant applications by providing technical input, preliminary data, and writing support.

• Mentor graduate students and research assistants on best practices for image analysis, reproducibility, and research design.

• Support and expand collaborations within UHN and with external academic and industry partners to drive cross-disciplinary imaging research.

Qualifications

Required Qualifications:

• Doctorate in Engineering, Physics, Bioinformatics, Computer Science, or related subject, with an interest  in multimodal image analysis, artificial intelligence, and machine learning. 

• Expertise in Python, R and Unix programming environments.

• Experience with analysis of imaging and unstructured data in the context of cancer research.

Preferred Qualifications:

Hands-on experience in high performance computing and image analysis in Python in a cluster environment (Slurm). An understanding of cancer image data curation and standardization would be helpful.

Additional Information

Why join UHN?
In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.

• Competitive offer packages
• Government organization and a member of the Healthcare of Ontario Pension Plan (HOOPP https://hoopp.com/)
• Close access to Transit and UHN shuttle service
• A flexible work environment
• Opportunities for development and promotions within a large organization
• Additional perks (multiple corporate discounts including: travel, restaurants, parking, phone plans, auto insurance discounts, on-site gyms, etc.)

Current UHN employees must have successfully completed their probationary period, have a good employee record along with satisfactory attendance in accordance with UHN's attendance management program, to be eligible for consideration.

All applications must be submitted before the posting close date.

UHN uses email to communicate with selected candidates.  Please ensure you check your email regularly.

Please be advised that a Criminal Record Check may be required of the successful candidate. Should it be determined that any information provided by a candidate be misleading, inaccurate or incorrect, UHN reserves the right to discontinue with the consideration of their application.

UHN is an equal opportunity employer committed to an inclusive recruitment process and workplace. Requests for accommodation can be made at any stage of the recruitment process. Applicants need to make their requirements known.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.