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Research Analyst - Brain Health Imaging Centre-camh

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Starting date : 1 position to fill as soon as possible

Through its core values of Courage, Respect and Excellence, CAMH is implementing its Strategic Plan: Connected CAMH, to transform lives, ignite innovation and discovery, revolutionize education and drive social change. CAMH is more than a hospital, it is a cause. CAMH is on a mission to change the way society thinks about and responds to mental illness. They aim to eliminate prejudice and discrimination and shape a world where mental illness is central to our healthcare system - a world where Mental Health is Health.

To learn more about CAMH, please visit their website at: www.camh.ca.

To view our Land Acknowledgment, please click here.

The Centre for Addiction and Mental Health is currently seeking a full-time, contract (8-month) Research Analyst to join the Brain Health Imaging Center working on machine learning models predicting clinical outcomes. The lab is conducting several clinical neuroscience research studies to understand relationships between brain functioning, brain structure, and behavior, across psychiatric disorders such as major depression and dementia. Reporting to the Research Laboratory Manager, your responsibilities will include: building machine learning pipelines, data analysis and interpretation, integration of different data modalities (neuroimaging, cognitive, clinical data); preparing findings for presentations and peer reviewed research papers; and knowledge transfer activities in the community. This role will also include opportunities for training students in AI and coding, liaising with study investigators, assisting in grant submissions. and other duties as assigned. You will receive training and support and will contribute to a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable regulatory and legislative requirements. This position is located at 250 College Street with some occasional travel to 100 Stokes Street.

The successful candidate will have a Bachelor’s degree with a background in life sciences (ie. neuroscience), Computer Sciences, with one year of relevant experience with machine learning and AI in healthcare.

Please Note: This full time, 8-month contract is part of the OPSEU bargaining unit.


Requirements

Level of education

undetermined

Work experience (years)

undetermined

Written languages

undetermined

Spoken languages

undetermined