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Dear colleagues,
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:*
1. Management and analysis of human neuroimaging data, including structural, functional, and diffusion MRI, and PET.
2. Developing and optimizing neuroimaging pipelines and computational tools to analyze data from various dementia cohorts, including those from our international collaborators.
3. Contributing to research projects, international collaborations, grant writing, and publishing papers.
4. Writing and submitting REB applications and other administrative tasks.
5. 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.
*To apply for this position, please follow the link https://secure-web.cisco.com/162vLYxn2JXvJnm87wEL21h9fpwgnbHZKa7tOOco4vBBomQKgzTEHyXRHslQiPultaP29i_WyJrrcPxDH4ykgOGspVteUqQIBv_TaRUJnUEWNwVZ9FQ6CQqWfIV_jgGCq09YZpoGjgHTz8eEEenAMEo2veLlnTzbe4Pf2QZ32Ijdg_hh2hzZRGqa4_jDILVIAWPuuBWbvYS7hYGuJzMBKlea4-2d77KiTn8tL3msYLgl_l43fhydimeIG25Sy1UnVA4jJmqMYPXQcWIuVaJfKMYk48VG09zW_EN6Sn6odcKYVq0JeJRogbynr-P1EJlTA/https%3A%2F%2Fsunnybrook.talcura.com%2FCandidates%2Fm%2FShowJob.aspx%3FJobId%3D13178*