Posted: June 28, 2026
Postdoctoral Researcher, Neuroimaging - UHN Toronto is listed at University Health Network in Toronto, ON. The Beaver Board aggregates this opening from the employer's career page — apply using the button below to reach the official application. Browse more jobs at University Health Network.
This Postdoctoral Research Fellow position at University Health Network (UHN) in Toronto, ON, focuses on leading a translational neuroimaging project within the Krembil Research Institute. The role involves developing MRI-based machine learning models for early diagnosis and disease progression modelling in Parkinson's disease and related disorders. Key duties include creating clinician-facing decision-support tools and analyzing large-scale neuroimaging datasets. Top requirements include a recent PhD in a relevant field, strong programming skills, and experience with machine learning and neuroimaging analysis.
The University Health Network (UHN) is seeking a highly motivated Postdoctoral Research Fellow to join Dr. Jürgen Germann’s Neuroimaging and Brain Modelling Laboratory at the Krembil Research Institute in Toronto. This pivotal role involves leading a significant translational neuroimaging project, with a primary focus on early diagnosis and disease progression modelling for Parkinson’s disease and related disorders. The successful candidate will be instrumental in the development of advanced MRI-based, machine learning-driven probability models, utilizing image-derived features to enhance diagnostic accuracy. A core aspect of this research is the practical translation of these sophisticated models into a clinician-facing decision-support tool, designed for real-world implementation within clinical workflows. This includes the development and optimization of pipelines that process routine clinical MRI data to generate patient-specific probabilistic diagnostic outputs, directly supporting critical clinical decision-making.
This unique opportunity places the researcher at the cutting edge of neuroimaging, machine learning, and clinical translation, emphasizing high-impact publications and the development of deployable clinical tools. The work is conducted within a highly multidisciplinary environment, fostering close collaboration with experts in Neuroradiology and Neurology, including the Director of the Movement Disorders Program. Responsibilities extend to analyzing large-scale multimodal neuroimaging datasets, performing rigorous statistical modelling, validation, and calibration of predictive models, and contributing to the development of clinically interpretable outputs such as probability maps and structured reports. The role also involves drafting manuscripts, abstracts, and grant applications, presenting research findings, and mentoring graduate and undergraduate trainees, all while collaborating within an interdisciplinary team spanning neurology, neuroradiology, medical physics, and data science.
Candidates for this Postdoctoral Researcher position must hold a PhD, obtained within the past five years, in neuroscience, biomedical engineering, computer science, medical physics, or a closely related field. Essential qualifications include strong programming skills, with proficiency in languages such as Python, R, or MATLAB. Extensive experience with machine learning and statistical modelling is required, alongside practical experience in neuroimaging analysis, with a preference for MRI-based methods. Familiarity with voxel-based or morphometry-based neuroimaging analyses is considered a valuable asset, as is experience in developing end-to-end pipelines or tools for applied or clinical use. Experience with model deployment, including APIs, GUIs, or clinical software pipelines, is also an asset, as is familiarity with established neuroimaging toolkits like ANTs, FSL, FreeSurfer, or SPM.
Beyond technical expertise, the ideal candidate will demonstrate the ability to work independently and effectively lead projects. Strong analytical and problem-solving skills are paramount, coupled with excellent written and verbal communication abilities. A proven track record of scientific productivity, evidenced by peer-reviewed publications, is expected. Furthermore, a genuine interest in translational and clinically impactful research is crucial for success in this role at UHN. Joining University Health Network offers a competitive compensation package, access to the Healthcare of Ontario Pension Plan (HOOPP), opportunities for professional development, and a flexible work environment within a leading Canadian healthcare organization.
