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Job Post Details

Scientific Associate - Brain Health Imaging Centre - job post

CAMH
3.8 out of 5 stars
1000 Queen St W, Toronto, ON M6J 1H4
$91,758.17–$137,637.25 a year - Full-time
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Job details

Pay

  • $91,758.17–$137,637.25 a year

Job type

  • Full-time

Location

1000 Queen St W, Toronto, ON M6J 1H4

Benefits

Pulled from the full job description

  • Dental care
  • Paid vacation
  • Extended health care

Full job description

The Centre for Addiction and Mental Health (CAMH) is Canada's largest mental health and addiction teaching hospital, as well as one of the world's leading research centres in the area of addiction and mental health. CAMH combines clinical care, research, education, policy development, and health promotion to transform the lives of people affected by mental illness and addictions. CAMH’s Campbell Family Mental Health Research Institute (CFMHRI) is home to scientists, staff, and research trainees conducting research to improve the understanding of the brain and the causes and biomarkers of mental illness as well as making advances in prevention and treatment for mental illness and addictions across the lifespan.

CAMH’s Brain Health Imaging Centre (BHIC) is a world leader in clinical brain imaging, including positron emission tomography (PET), magnetic resonance imaging (MRI), preclinical imaging, digital autoradiography, and radiochemistry production. The Centre’s mission is to advance the understanding of brain health and mental well-being through cutting-edge imaging technologies, with a commitment to conducting innovative research, providing exceptional patient care, and fostering collaboration within the scientific and medical communities.

The BHIC is seeking a full-time permanent Scientific Associate, with expertise in medical radiation physics, image analysis and instrumentation pertaining to PET. The successful candidate will be responsible for calibration and quality maintenance of the two clinical PET scanners (currently a HRRT and GE Discovery MI PET/CT), and two hybrid preclinical PET scanners (Mediso PET/MR and PET/CT) in the Centre, as well as the associated auxiliary equipment (dose calibrators, automated blood sampling systems, radiometabolite laboratories, gamma-counters, etc.). They will also assist with supporting the computer and network infrastructure used to securely manage, process, transfer and store the PET and MRI data generated at the Centre.

The candidate will be responsible for helping to develop and implement PET methodology for the preclinical and clinical PET tomographs, and in addition, will be expected to help develop and implement appropriate solutions to overcome challenges associated with newer PET tomographs. They will acquire data and perform image processing for physical characterization tests of PET systems (i.e., NEMA), and for the purposes of quality control, calibration, and harmonization between scanners. They will perform analysis of human PET and MRI image data, help develop image analysis and dosimetry pipelines and basic training to help establish methodology for new PET tracers amongst CAMH researchers and their trainees, and assist with the preparation of this data for publication.

As part of their core responsibilities, they will implement methods to ensure data is compliant with conversion methods to standard data structures used in research (such as the Brain Imaging Data Structure [BIDS]). They will help set up and maintain shared computing and software resources for authorized users within BHIC, and have data management responsibilities including data backup and oversight of data storage. The candidate will interact and liaise with the CAMH Research IT and the Krembil Centre for Neuroinformatics teams to establish communication with their servers and data services as appropriate.

The successful candidate will work in close collaboration with the Methodology Team including Staff Scientists (PET Physicists and Modellers) and their trainees to maintain integrity of all PET and associated data and integrate the PET data into subsequent analysis, and they will help develop and enable data quality control pipelines to satisfy regulatory requirements for clinical studies. They will perform investigations to help validate new knowledge, imaging and analysis and methods in imaging sciences. The candidate will provide training to CAMH staff and trainees and will also be involved in preparing standard operating procedures and related documentation. Other research-related administrative duties will also be required.

This position is located at 250 College Street and will report to the BHIC Director.


Responsibilities

Qualifications

Applicants must possess a PhD in a discipline relevant to PET physics and/or medical physics. Applicants must possess 1-2 years relevant experience with quantitative modelling and medical imaging. Experience with quality maintenance of lab equipment, and/or engineering physics are considered an asset. Any additional knowledge and expertise of PET tomographs, dual modality PET/MR, PET/CT or preclinical imaging will be considered an asset.

The ideal candidate will have a working understanding of PET methods including system setup, calibrations and the necessary corrections required to generate quantitative data. Experience in processing PET image data, including image reconstruction and registration / motion correction is an asset. Experience with scripting and software development, (MATLAB, python, or another appropriate language) to address the requirements of the program at the BHIC, and a knowledge of imaging data structures (e.g. NIFTI, DICOM, ecat, BIDS, etc.) will be considered favourably. Experience with network monitoring software (i.e., Nagios) and with other systems administration related tasks will be viewed favourably. Experience in developing analytical pipelines including generation of input functions, radiometabolite analysis, and software packages including PMOD, VivoQuant, Amide, NumPy, FSL etc., or neuroinformatics platforms (i.e. XNAT), is a benefit, along with a proven expertise relevant to brain-PET imaging studies. Expertise in quantitative modelling, including kinetic modelling, regional analysis and parametric mapping is also an asset. An ability to develop appropriate solutions to overcome challenges associated with discovery and for processing pipelines for novel PET tracers for neuroimaging is essential.

Additional skills will include knowledge of Quality Assurance/Quality Control methods for PET data and experience handling and performing experiments with radioactive materials.

Excellent written and communication skills are essential. The candidate must be willing to provide flexibility and the ability to adapt to a fast-paced research environment, as well as to work independently, in a highly collaborative working environment.

Nuclear Energy Worker (NEW) status is mandatory and must be sought upon employment at the Centre if not already obtained.

Compensation & Benefits:

Salary is competitive and based on experience, with a hiring range of $91,758.17 – $114,697.71 per year.

Employees in this role may progress within the full pay range of $91,758.17 – $137,637.25 per year

CAMH’s Total Rewards: Includes participation in HOOPP defined benefit pension plan, extended health and dental benefits, paid vacation starting at 4 weeks, flexible work arrangements, and ongoing professional development support.

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.

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