Postdoctoral Researcher
Postdoctoral Researcher
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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 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 UHNs 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.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
