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Employment Opportunities Centre for Addiction
and Mental Health

Research Methods Specialist

2016 Canada's Best Diversity Employers Quality Health Care - Gold GTA Top Employer 2015 Canada's Most Admired Corporate Culture Canada's Top Employers




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The Centre for Addiction and Mental Health (CAMH) is Canada's largest mental health and addiction teaching hospital and a world leading research centre in this field. CAMH combines clinical care, research, education, policy development and health promotion to help transform the lives of people affected by mental illness and addiction. CAMH is fully affiliated with the University of Toronto, and is a Pan American Health Organization/World Health Organization Collaborating Centre. CAMH was recently awarded a Gold Level Quality Healthcare Workplace Award and recognized as one of Canada’s 10 Most Admired Corporate Cultures. In 2016, CAMH was named one of Greater Toronto's Top Employers. In 2017, CAMH was considered one of Canada's Best Diversity Employers for the seventh year in a row.

Our supportive learning environment offers on-site training, workshops and professional development courses. Located in downtown Toronto, we are easily accessible by transit. We offer a balance of work and lifestyle including onsite day care facility, discounts on membership at the University of Toronto Athletic Centre, on-site pool (at the Queen Street location) and gymnasiums.

Opportunities are available for most health care professionals.

Research Methods Specialist

Job Number: 816025

Category: Research

Positions Available: 1

Years Experience Required: 5

Location: Toronto, Ontario

Posted Date: Jan 2, 2018

EMPLOYMENT OPPORTUNITY

Research Methods Specialist (2 Positions)

Kimel Family Laboratory

Research Imaging Centre

 

 

 

Position Description:

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 on combining brain imaging and genetics, brain imaging and brain stimulation, and brain imaging and clinical trials. The laboratory is located in the Research Imaging Centre.

 

The Research Methods Specialist’s primary responsibility will be to collaborate and support laboratory members and subject matter experts in design, development and implementation of analyses and new methods, as well as provide guidance, technical advice and training. The successful candidate will also be involved in the maintenance of different analysis pipelines and will help users migrate existing software to high performance computing infrastructures (such as the SciNet facilities). Additionally, the Research Methods Specialist will be involved in the system administration of a computing cluster that is used in the daily research endeavours of scientists, fellows, and trainees. In this role you will manage both user access and hardware of the cluster. You will support a healthy workplace that embraces diversity encourages teamwork and complies with all applicable standards and requirements. This position will be located at 250 College Street.

 

Qualifications:

The successful applicant must possess an Honor’s Baccalaureate degrees in computer science, engineering, physics, mathematics or neuroscience combined with a minimum of five (5) years of related experience is required including two (2) years in software development or research programming role. A Master’s degree would be an asset. Knowledge and experience are required in software development techniques (e.g. design principles, automated testing, version control), and software development in Python, shell and R. Previous experience in system administration (installing/ configuring software from source, user management, and backup and system security) is also required. Experience dealing with neuroimaging data or multivariate statistical methods (e.g. Machine learning methods) is a considerable asset. The successful candidate will have demonstrated analytical and creative problem-solving abilities and knowledge of state of the art technology, equipment and compute cluster systems. The ability to collaborate effectively with colleagues and diverse stakeholders is essential. Demonstrated communications skills (both oral and written) are required as is the ability to explain complex issues in plain language. The candidate will be detail oriented, well organized, with the ability to meet deadlines and to work independently with minimal supervision. Candidates require the ability to work effectively with individuals from diverse backgrounds. Bilingualism (French/English) or proficiency in a second language would be an asset.

 

Please note:                  These two (2) full-time, contract positions lasting one(1) year are part of the OPSEU Bargaining Unit.

 

Salary range:                $35.77 – $48.24 per hour

 

Please click the link below to apply.          

                                                            

CAMH is a Tobacco-Free Organization

 

CAMH is fully affiliated with the University of Toronto and is a teaching hospital and research institute. As a CAMH employee you will be expected to actively support CAMH’s teaching and research activities, in addition to supporting the clinical work of the hospital.

 As an employment equity employer CAMH actively seeks Aboriginal peoples, visible minorities, women, people with disabilities, (including people with who have experienced mental health and substance use challenges), and additional diverse identities for our workforce.

 We thank all applicants for their interest, however, only those selected for an interview will be contacted. If contacted for an interview, please inform us should accommodation be required.


 

Related Links

 
CAMH Switchboard 416-535-8501
CAMH General Information Toronto: 416-595-6111 Toll Free: 1-800-463-6273
Connex Ontario Help Lines
Queen St.
1001 Queen St. W
Toronto, ON
M6J 1H4
Russell St.
33 Russell St.
Toronto, ON
M5S 2S1
College St.
250 College St.
Toronto, ON
M5T 1R8
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