PhD Medical Imaging jobs

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.

The KCNI Whole Person and Population Modeling (WPPM) team is seeking a part-time, contract (6 months) Scientific Associate to support and advance a highly collaborative, interdisciplinary research program focused on multi-modal neuroimaging, machine learning, and precision mental health that encompasses fundamental and clinical research. Reporting to the head of the WPPM team, the Scientific Associate is a doctorate-level subject matter expert whose responsibilities include, but are not limited to, 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; and providing functional supervision and training/mentoring to study personnel (research staff and trainees). The Scientific Associate must contribute to the strategic growth of research programs aligned with CAMH, such as expanding capacity, talent, and innovation, and must support applications for internal and external funding opportunities. The Scientific Associate will support scientists and technical staff in the design and execution of studies following established standard operating procedures but does not engage in independent research. This position is located at 250 College Street.

• 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.

Compensation & Benefits:

• Salary is 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
• CAMH’s Total Rewards : Includes participation in HOOPP defined benefit pension plan , flexible work arrangements, and ongoing professional development support.

This role allows professionals to apply their expertise in a mission-driven environment dedicated to public health outcomes.

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.

CAMH est un hôpital universitaire et un institut de recherche pleinement affiliés à l'Université de Toronto. En tant qu'employé de CAMH, vous contribuerez à notre mission en soutenant l'enseignement, la recherche et les soins cliniques à travers l'hôpital.
CAMH est dédié à l'équité, à la diversité et à l'inclusion. Notre engagement est de favoriser un environnement de travail, d'enseignement et d'apprentissage qui soit inclusif, respectueux et exempt de discrimination ou de harcèlement.

CAMH encourage fortement les candidatures de candidats qui reflètent la diversité des communautés que nous servons, y compris les Premières Nations, les Métis et les Inuits; les communautés noires et autres communautés racialisées; les communautés LGBTQ2S+; les femmes; et les personnes en situation de handicap, y compris celles ayant une expérience vécue des défis en matière de santé mentale et d'usage de substances.

Nous accueillons les candidatures de toutes origines. Merci à tous ceux qui postulent ; cependant, seuls les candidats sélectionnés pour un entretien seront contactés. Si vous avez besoin d'aménagements pendant le processus de candidature ou de recrutement, veuillez nous en informer.