Research Analyst - Brain Health Imaging Centre

The Kimel Family Translational Imaging-Genetics Laboratory is a large multidisciplinary research laboratory dedicated to discovering the causes of severe mental illness and advancing treatments for severe mental illness. The focus of the laboratory is using brain imaging to understand human brain function, psychiatric illness, and treatment outcomes. The laboratory is located in the Brain Health Imaging Centre. The lab includes a group of PIs; Drs. Nicholas Neufeld, Peter Zhukovsky, Colin Hawco, Erin Dickie, Lindsay Oliver, Aristotle Voineskos, and Stephanie Ameis, as well as other collaborating scientists.

We are seeking a full-time, contract (12 months) Research Analyst who will provide support to the Kimel Family Lab’s research team and projects. The Research Analyst will be part of a dynamic multi-disciplinary team of psychiatrists, neuroscientists, engineers, and clinical researchers interested in understanding brain function and dysfunction.

The Research Analyst will provide support in maintaining neuroimaging data collected from multiple research studies and will assist in quality control and analysis of this data. This may include data organization and processing of large functional and structural MRI data, quality control for ongoing studies, and timely implementation of neuroimaging pipelines for decisions in clinical trials. You will also be required to assist in data entry; updating and maintaining electronic databases; conducting searches of electronic resources; as well as preparing data for presentations and peer-reviewed research papers. Other research related administrative duties are also required. Current projects focus on using imaging markers to identify disease trajectories under various treatment regimes, including repetitive transcranial magnetic stimulation and pharmacotherapies. 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. 

This position is located at 250 College Street and travel between sites may be required.

The successful candidate must possess an Honours Bachelor’s Degree in computer science, psychology, neuroscience, or a related discipline combined 1-year relevant research experience and proficiency with programming languages (e.g., Python, R). Experience in MRI analysis tools (i.e. Freesurfer, FSL, SPM, BIDS, nilearn) and/or neuroscience is an asset. Experience with Linux computing in a high-performance computing environment as well as system administration tasks (e.g., networking, database management) is an asset.  Experience with statistical packages (R, SPSS, SAS, and MATLAB) and data interpretation is an asset. Excellent interpersonal, communication (oral/written) and organizational skills are required, along with the ability to collaborate effectively with team members. The successful candidate will be detail-oriented and be able to exercise initiative, and good judgment and will have the ability to multi-task and produce high-quality, accurate work while meeting program deadlines and requirements. The successful candidate requires the ability to work effectively in a variety of settings with individuals from diverse backgrounds. 

Salary Range: $27.95 - $37.28 per hour

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.
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.