Postdoctoral Researcher

Union: Non-Union
Number of Vacancies: 1
New or Replacement Position: New
Site: Toronto Western Hospital, 399 Bathurst Street, Toronto, ON
Department: Joint Department of Medical Imaging, Neuroradiology
Reports to: Principal Investigator
Salary Range: $54,902 - $93,333 annually
Hours: 37.5 Hours Per Week
Shifts: Monday to Friday
Status: Temporary Full-Time (1 year)
Closing Date: November 11, 2026
Position Summary
Dr. Jürgen Germann and Dr. Alexandre Boutet’s Neuroimaging and Brain Modelling Laboratory at the Krembil Research Institute, University Health Network, is seeking a highly motivated Postdoctoral Research Fellow to lead a translational neuroimaging project focused on early diagnosis and disease progression modelling in Parkinson’s disease and related disorders.
The successful candidate will play a central role in developing MRI-based, machine learning-driven probability models for differential diagnosis using image-derived features. A key focus will be translating these models into a clinician-facing decision-support tool for real-world implementation. This includes building pipelines that take routine clinical MRI as input and generate patient-specific probabilistic diagnostic outputs to support clinical decision-making.
The position offers a unique opportunity to work at the interface of neuroimaging, machine learning, and clinical translation, with a strong focus on high-impact publications and the development of deployable clinical tools. The work will be conducted in a highly multidisciplinary environment, in close collaboration with Dr. Anthony Lang (Neurology; Director of the Movement Disorders Program).
Duties
Lead the development of machine learning models for imaging-based diagnostic probability estimation
Develop and optimize pipelines to generate patient-specific probabilistic predictions from MRI data
Design and implement a clinician-facing tool to support model deployment and integration into clinical workflows
Analyze large-scale multimodal neuroimaging datasets, including structural and diffusion MRI
Perform statistical modelling, validation, and calibration of predictive models
Contribute to the development of clinically interpretable outputs (e.g., probability maps, atrophy maps, structured reports)
Collaborate closely with clinical partners to ensure usability, interpretability, and clinical relevance of developed tools
Collaborate within a highly interdisciplinary team spanning neurology, neuroradiology, medical physics, and data science
Draft manuscripts, abstracts, and grant applications
Present research findings at meetings and conferences
Mentor graduate and undergraduate trainees
PhD in neuroscience, biomedical engineering, computer science, medical physics, or a related field (obtained within the past 5 years)
Strong programming skills (e.g., Python, R, MATLAB, or similar)
Experience with machine learning and statistical modelling
Experience with neuroimaging analysis (MRI-based methods preferred)
Experience with voxel-based or morphometry-based neuroimaging analyses
Experience developing end-to-end pipelines or tools for applied or clinical use
Experience with model deployment (e.g., APIs, GUIs, or clinical software pipelines)
Familiarity with neuroimaging toolkits (e.g., ANTs, FSL, FreeSurfer, SPM)
Ability to work independently and lead projects
Strong analytical and problem-solving skills
Excellent written and verbal communication skills
Demonstrated scientific productivity (e.g., peer-reviewed publications)
Interest in translational and clinically impactful research

Employment type
Full-time

Work arrangement
No