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About the Role

The Krembil Centre for Neuroinformatics (KCNI) at CAMH is seeking a Scientific Associate to support and advance a research program focused on multi-modal neuroimaging, machine learning, and precision mental health. This role involves providing scientific and methodological expertise, preparing ethics protocols, supporting study design and analysis, and collaborating with research teams. The position does not involve independent research but contributes to the strategic growth of research programs.

Responsibilities

Providing advanced scientific and methodological expertise across multiple research projects in multi-modal neuroimaging, machine-learning modelling of neural risk mechanisms, and integrative risk profiles for mental illness across the lifespan.
Preparing ethics protocols and renewal reports.
Supporting the design, execution, analysis, and interpretation of large-scale imaging and deeply-phenotyped cohort datasets.
Implementation of study-specific standard operating procedures.
Collaborating closely with clinician-scientists, biostatisticians, and research staff to ensure high scientific rigor and reproducibility.
Preparing and delivering content for publications and presentations.
Support knowledge translation and exchange activities, and promote WPPM research activities.
Providing functional supervision and training/mentoring to study personnel (research staff and trainees).
Contributing to the strategic growth of research programs aligned with CAMH, such as expanding capacity, talent, and innovation.
Supporting applications for internal and external funding opportunities.
Supporting scientists and technical staff in the design and execution of studies following established standard operating procedures.

Requirements

PhD in Bioinformatics, Computational Biology, Computational Neuroscience, or a related discipline.
Minimum 1 year of research experience in MR image analyses, psychiatric phenotyping, and statistical or computational methods.
Demonstrated familiarity with analysis tools and methods for functional, structural, and diffusion MRI, machine learning and biostatistical modeling, and data integration methods.
Demonstrated knowledge of the discipline, protocols and regulatory requirements in the area of secondary data analysis and precision medicine.
Strong record of peer-reviewed publications and collaborative research.
Ability to collaborate effectively with colleagues and the scientific community.
Demonstrated ability to interact with populations of diverse ethno-racial and cultural backgrounds.
Experience working within multidisciplinary research environments, ideally including clinical translational research settings.
Excellent written and verbal communication skills.

Skills

Multi-modal neuroimaging
Machine learning
Precision mental health
MR image analyses
Psychiatric phenotyping
Statistical methods
Computational methods
Functional MRI analysis
Structural MRI analysis
Diffusion MRI analysis
Biostatistical modeling
Data integration methods
Secondary data analysis
Precision medicine

Location

250 College Street

Work Type

Part-time
Contract (6 months)

Experience Level

Doctorate-level subject matter expert
Minimum 1 year of research experience

Education Level

Salary/Compensations

Competitive and based on experience, with a hiring range of $93,822.73 – $117,278.41 per year.
Employees in this role may progress within the full pay range of $93,822.73 – $140,734.09 per year

Benefits

Participation in HOOPP defined benefit pension plan
Flexible work arrangements
Ongoing professional development support

About the Company

As Canada’s leading mental illness research facility, CAMH’s Campbell Family Mental Health Research Institute (CFMHRI) is home to scientists, staff and research trainees conducting leading research to improve the understanding of the brain and the causes, the biomarkers and cures for mental illness as well as research to advance the prevention and treatment for mental illness and addictions across the lifespan.
With a collaborative inter-disciplinary environment that spans clinical, biological, social and epidemiological research, CAMH supports a workplace that embraces diversity, encourages teamwork and complies with all applicable regulatory and legislative requirements.
The Krembil Centre for Neuroinformatics (KCNI) at the Centre for Addiction and Mental Health (CAMH) is harnessing the power of high-performance computing and novel technologies to integrate and analyze the wealth of data generated about the brain and mental health.
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.
CAMH is a fully affiliated teaching hospital and research institute of the University of Toronto.
As a CAMH employee, you will contribute to our mission by supporting teaching, research, and clinical care across the hospital.
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.

Equal Opportunity

CAMH is dedicated to equity, diversity, and inclusion. Our commitment is to foster a workplace, teaching, and learning environment that is inclusive, respectful, and free from discrimination or harassment.
CAMH strongly encourages applications from candidates who reflect the diversity of the communities we serve, including First Nations, Métis, and Inuit Peoples; Black and other racialized communities; LGBTQ2S+ communities; women; and people with disabilities, including those with lived experience of mental health and substance use challenges.
We welcome applicants from all backgrounds.
Thank you to all who apply; however, only those selected for an interview will be contacted.
If you require accommodations during the application or recruitment process, please let us know.