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Research Fellow

3 months ago

Toronto, Ontario, Canada SickKids Full time

About SickKids:


Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) is one of the largest and most respected paediatric healthcare centres in the world.

As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education.

Our reputation would not have been built - nor could it be maintained - without the skills, knowledge and experience of the extraordinary people who come to work here every day.

SickKids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice.

When you join SickKids, you become part of our community. We share a commitment and determination to fulfill our vision of _Healthier Children. A Better World_.

Don't miss out on the opportunity to work alongside the world's best in paediatric healthcare.

Position Description:

The Children's Stroke Program is a leading center for clinical training, research, and education in paediatric stroke worldwide.

The Program hosts the world's largest childhood stroke registry, The International Pediatric Stroke Study (IPSS), that has enabled clinicians, scientists, and researchers from over 100 institutions to conduct cutting-edge clinical research by capturing longitudinal clinical and imaging data on ischemic stroke patients, high-risk patients, and more recently, hemorrhagic stroke patients.

Multi-site collaborations have led to an improved understanding of stroke etiology and risk factors, the establishment of standardized guidelines for stroke diagnosis and management, recommended clinical imaging protocols, and outcome assessments that explore neurological and cognitive deficits in paediatric stroke patients.

The IPSS continues to serve as a global network and data hub for paediatric stroke research and SickKids is proud to provide the data infrastructure, management, and tools to facilitate this high-caliber research productivity.


The Children's Stroke Program is also home to the Stroke Imaging Laboratory for Children (SILC), which facilitates large-scale imaging data acquisition on a local and international scale.

The SILC team develops processing and analysis pipelines, and employs novel technologies and advanced neuroimaging techniques to better understand the functional and structural networks of the brain and its connectivity post-stroke.

By uncovering the neurobiological processes underpinning the mechanisms of injury, plasticity and recovery following paediatric stroke through analysis of complimentary clinical and imaging data we will have the potential to establish a more personalized, predictive, and preventative model of care, and transform the field of childhood stroke.


Here's What you Get to Do:

  • Encourage and foster collaborative relationships with the healthcare team at SickKids, and other participating centres.
  • Manage the dissemination of research and clinical findings of SILC studies through the statistical and computational analysis of imaging data, and preparation of abstracts and manuscripts for scientific and operations meetings.
  • Effectively summarize and contextualize results both verbally and graphically for presentations, publications, and grants.
  • Publish results in peerreview journals and conferences.
  • Lead the collection and transfer of imaging datasets from nonHSC sites to SickKids.
  • Perform analysis of MRI sequences to characterize lesion volume, location, cortical thickness, white matter microstructural integrity and subcortical volumes at baseline and on followup studies.
  • Perform analysis of clinically acquired Imaging Data from our multinational registry study, and aid in the development of a clinically acquired imaging processing pipeline. Experience in machine learning techniques is preferred.
  • Supervise/mentor team of undergraduate/graduate/medical students and research coordinators/analysts.
  • Occasional travel to conferences (pending research objectives and budget).

Here's What You Need:

  • PhD in an appropriate discipline, such as neuroscience, neuropsychology, neuroimaging, or neurophysiology.
  • Expert knowledge of one or more MRbased neuroimaging acquisition techniques and related analysis methods.
  • Experience in a research or academic health care environment preferred.
  • Must have experience processing and working with neuroimaging techniques, such as fMRI, MRI, EEG, MEG and diffusion imaging
  • Must have experience developing and executing analysis pipelines for large imaging datasets.
  • General knowledge of MR acquisition techniques and postprocessing approaches
  • Significant computer programming experience in a scientific setting, especially with MATLAB, Python, and R is an asset.
  • Proven statistical analyses experience using MATLAB, R, or SPSS.
  • Experience with Linux and network administration is an asset.
  • Ability to eff