Postdoctoral Researcher

University Health Network • Toronto, ON

3d • CA$54,902 - CA$93,333 • Onsite

About The Position

Dr. Jürgen Germann’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. Alexandre Boutet (Neuroradiology) and Dr. Anthony Lang (Neurology; Director of the Movement Disorders Program).

Requirements

• PhD in neuroscience, biomedical engineering, computer science, medical physics, or a related field (obtained within the past 5 years) required
• 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)
• 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

Nice To Haves

• Experience with voxel-based or morphometry-based neuroimaging analyses an asset
• Experience developing end-to-end pipelines or tools for applied or clinical use an asset
• Experience with model deployment (e.g., APIs, GUIs, or clinical software pipelines) an asset
• Familiarity with neuroimaging toolkits (e.g., ANTs, FSL, FreeSurfer, SPM) an asset

Responsibilities

• Lead development of machine learning models for imaging-based diagnostic probability estimation
• Develop and optimize pipelines that generate patient-specific probabilistic predictions from MRI data
• Design and implement a clinician-facing tool for model deployment and integration into clinical workflows
• Analyze large-scale multimodal neuroimaging datasets (structural and diffusion MRI)
• Perform statistical modelling, validation, and calibration of predictive models
• Contribute to development of clinically interpretable outputs (e.g., probability maps, reports)
• Work closely with clinical collaborators to ensure usability and relevance of the tool
• Draft manuscripts, abstracts, and grant applications
• Present research findings at meetings and conferences
• Mentor graduate and undergraduate trainees
• Collaborate within a highly interdisciplinary team spanning neurology, neuroradiology, medical physics, and data science

Benefits

• Competitive offer packages
• Member of the Healthcare of Ontario Pension Plan (HOOPP)
• 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.)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree