Research Analyst - Krembil Centre for Neuroinformatics-camh

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The Krembil Centre for Neuroinformatics (KCNI) at the Centre for Addiction and Mental Health (CAMH) is harnessing the power of high-performance computing to integrate and analyze the wealth of data generated about the brain. Our research is performed in an open science environment, with an emphasis on reproducible data-driven research and a patient-centric approach to accelerate identification and treatment of mental illness. A focus on global collaboration is key to transforming our understanding of mental health and its treatment. The Centre operates as an incubator for medical technologies to identify, manage and treat mental illness, while shaping policy at national and global levels.

The Cognitive Network Modelling Laboratory within the Krembil Centre for Neuroinformatics is currently seeking a full-time, contract (6-months) Research Analyst. The successful candidate will provide research support to a Scientist at the Centre, assisting with ongoing projects aimed at developing and validating digital precision in psychiatry including platforms that integrate wearable EEG, gamified cognitive tasks, and ecological momentary assessments to detect early psychosis spectrum symptoms in youth.

The primary responsibilities of this position will involve:

You will support a workplace that embraces diversity, encourages teamwork, and complies with all applicable health and safety and regulatory and legislative requirements. This position is located at 250 College Street at the College Street Site.

The successful candidate for this position will have a Bachelor of Science, one year of research lab/project experience; possess a strong technical background in Virtual Reality (VR) development, with proficiency in creating VR applications using platforms such as Unity or Unreal Engine, and experience in developing interactive and realistic social scenarios within VR environments. They will have a thorough knowledge of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) data collection methods and equipment, including handling mobile EEG setups for accurate data capture in naturalistic settings, and the ability to integrate EEG and fNIRS data with VR tasks for real-time monitoring. Additionally, the candidate will have expertise in developing and validating computational models that predict social cognition and behavioral responses, with familiarity in using software tools and programming languages like Python, MATLAB, and R.

Proficiency in integrating multi-modal data sources (EEG, fNIRS, behavioral data) for comprehensive analysis, developing algorithms for real-time monitoring and longitudinal analysis, and skills in data visualization and interpretation to identify early markers of cognitive impairment and psychosis symptoms are also essential. Furthermore, the candidate should have experience in integrating cognitive tasks with EEG or fNIRS mobile data acquisition, ensuring seamless data collection and analysis in diverse settings.

The successful candidate will support and implement anti-oppressive and anti-racist best practices in the workplace. The ability to work with knowledge users of diverse identities and ethno-racial and cultural backgrounds is required. You will support a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable CAMH policies, as well as all regulatory and legislative requirements.