Job Description

One of Canada's Top 10 Research Hospitals, Sunnybrook Research Institute is developing innovations in care for the more than 1.3 million patients the hospital cares for annually.




Sunnybrook Research Institute is the research enterprise of Sunnybrook Health Sciences Centre, a teaching hospital fully affiliated with the University of Toronto. Research spans three Toronto-based campuses, eight programs and three scientific platforms. Our main aims are to understand and prevent disease, and to develop treatments that enhance and extend life. Our vision is to invent the future of health care. Each year, we conduct about $100 million in research across 500,000 square feet, including in the world's first Centre for Research in Image-Guided Therapeutics.




The Artificial Intelligence and Computational Neurosciences (AICONS) Lab and the Harquail Centre for Neuromodulation at Sunnybrook Research Institute and the University of Toronto are seeking a

research assistant

to work on various projects under the supervision of Drs. Maged Goubran, Julie Ottoy, and Nir Lipsman. Our interdisciplinary teams lead computational and neuroimaging analyses for numerous cutting-edge imaging studies and clinical trials at Sunnybrook and the Harquail Centre, including those focused on Alzheimer's disease, Parkinson's disease, and psychiatric disorders, such as refractory obsessive-compulsive disorder and major depressive disorder. Projects will involve investigating structural and functional brain connectivity in several neuropsychiatric disease populations and neurosurgical patients. The successful candidate will join a diverse, multidisciplinary team of researchers who specialize in developing and applying computational tools and AI to probe and predict circuit alterations in Alzheimer's disease, stroke, and traumatic brain injury. The candidate will be expected to work both independently and as part of a team alongside investigators, clinicians, staff, and graduate/undergraduate students. There will be opportunities to contribute to multiple publications and conference abstracts, as well as attend conferences.




The ideal candidate will possess a B.Sc. or M.Sc. in computer science, biomedical engineering, neuroscience, or a related discipline, along with prior research experience in neuroimaging or AI. Preference will be given to candidates who have experience working with neuroimaging analyses or machine learning frameworks (e.g., Keras, PyTorch, Sci-Kit Learn, and TensorFlow).

Key Responsibilities:

Assisting with managing and analyzing human neuroimaging data, including structural, functional and diffusion MRI, and PET. Helping to design and implement data analysis workflows, incorporating existing tools. Aiding in the development and testing of neuroimaging processing pipelines. Contributing to research projects and publishing papers. Writing and submitting REB applications and other administrative tasks. Helping with booking and scanning surgical patients.

Qualifications:

Post-secondary degree in computer science, biomedical engineering, neuroscience, or a related discipline (M.Sc. preferred). One year of relevant research experience. Computer programming experience, with demonstrated skills in Python. Intermediate knowledge of Linux, including shell scripting.

Assets:

Experience with machine learning/deep learning (e.g., Keras, PyTorch, Sci-Kit Learn, TensorFlow). Python software packaging, virtual environments, Anaconda/Conda, Jupyter/IPython Working knowledge of neuroimaging software and toolkits (e.g., Freesurfer, FSL, ITK, MRtrix). Experience with version control systems, such as Git. Self-starter with proven ability to learn quickly and work independently.





Application screening will continue until a suitable candidate is identified. We thank you in advance for your interest. Only those candidates selected for an interview will be contacted. No phone calls, please.




More information about the Sunnybrook Research Institute can be found at: www.sunnybrook.ca/research




The Sunnybrook Research Institute is committed to providing accessible employment practices that are in compliance with the Accessibility for Ontarians with Disabilities Act ('AODA'). If you require accommodation for disability during any stage of the recruitment process, please indicate this in your cover letter.




Sunnybrook Research Institute is strongly committed to inclusion and diversity within its community and welcomes all applicants, including but not limited to: visible minorities, all religions and ethnicities, persons with disabilities, LGBTQ persons, and all others who may contribute to the further diversification of ideas.

Links

Sunnybrook Health Sciences Centre * University of Toronto