The Ottoy & Goubran labs at the Sunnybrook Research Institute, University of Toronto, are seeking a motivated Research Assistant to work on a range of projects at the intersection of Alzheimer’s disease, cerebrovascular disease, and neuroinflammation. Our interdisciplinary teams lead the computational and neuroimaging analyses for several cutting-edge imaging studies and clinical trials at Sunnybrook focused on Alzheimer’s disease. You will be involved with a broad range of tasks, including the computational analysis of our recently funded CIHR project (focused on developing new imaging biomarkers and studying the intersection between immune-vascular dysfunction and pathology in Alzheimer’s disease). Other tasks will include processing/statistical analysis of medical images (MRI and PET), optimizing computational pipelines, building an imaging database, maintaining repositories, leveraging cutting-edge techniques to analyze biomarkers (including 7T MRI), and contributing to publications. We collaborate with a diverse and multidisciplinary team of researchers, including computer scientists, physicists, neurologists, radiologists, and psychologists, within a dynamic and collegial environment.
Main responsibilities:
- Management and analysis of human neuroimaging data, including structural, functional, and diffusion MRI, and PET.
- Developing and optimizing neuroimaging pipelines and computational tools to analyze data from various dementia cohorts, including those from our international collaborators.
- Contributing to research projects, international collaborations, grant writing, and publishing papers.
- Writing and submitting REB applications and other administrative tasks.
- Presenting at conferences and workshops.
Qualifications:
• Post-secondary degree in computer science, biomedical engineering, bioinformatics, computational neuroscience, or a related discipline (M.Sc. preferred).
• Computer programming experience, with demonstrated skills in Python.
• Intermediate knowledge of Linux, including shell scripting.
• Proven ability to work independently as well as collaboratively.
• Excellent verbal and written communication skills in English.
Assets:
• Python software packaging, virtual environments, High-Performance Computing (Slurm), Docker, Jupyter/IPython.
• Working knowledge of neuroimaging software and toolkits (e.g., Freesurfer, FSL, ITK, MRtrix, fMRIPrep) if no knowledge in this domain, please explain your interest in the cover letter.
• Experience with systems architecture/imaging databases for computational pipeline design.
• Experience with version control systems, such as Git.
• Prior research experience (course-based allowed).
• Experience with biostatistics/statistical analysis and Python/R or equivalent software.
• Experience with Machine Learning model development and evaluation.
Please apply using the following link