Scientific Associate - Krembil Centre for Neuroinformatics
Top Benefits
About the role
Job Description
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**.**
The AI in Mental Health — Epics Lab at the Krembil Centre for Neuroinformatics (KCNI) within the Centre for Addiction and Mental Health (CAMH), applies artificial intelligence (AI) and Machine Learning (ML) to develop predictive models of mental health. Our mission is to accelerate understanding of mental illness and addiction, while advancing diagnosis, management, and therapeutic interventions. We integrate AI/ML, neuroinformatics, and high-performance computing (HPC) to enhance the reliability, reproducibility, and clinical relevance of neuroimaging and data-driven approaches in mental health research. All our work is conducted in a collaborative, open-science environment.
We are seeking a full-time, contract (6 months) Scientific Associate, with strong experience in AI/ML research, numerical analysis, and scientific software development, to support a study focused on the numerical stability of AI models in longitudinal neuroimaging pipelines. The Scientific Associate will apply knowledge of AI/ML frameworks and methodologies in studies led by Principal Investigator (PI) in areas including, but not limited to: numerical analysis, Deep Learning, neuroimaging, as well as preparation of REB applications, protocols, standard operating procedures, research reports, grants, conference presentations, papers for publication, and other knowledge translation activities. The Scientific Associate will also contribute to mentorship of staff and research trainees as appropriate.
Key Accountabilities:
Research application and ethics protocol submissions:
- Lead study activities, including the development of Research Ethics Board (REB) submissions, SOPs, case report forms, literature reviews, and project documentation.
- Support the PI’s funding strategy by contributing substantively to the writing and submission of grant applications.
- Liaise with clinicians, scientists, and internal/external collaborators during both proposal development and study execution.
- Ensure compliance with Good Clinical Practice (GCP), regulatory standards, and institutional guidelines.
Data Handling, Quality Assurance & Reproducibility:
- Build and maintain reproducible AI/ML and neuroimaging pipelines for large-scale experimentation, ensuring robust data validation and quality control.
- Implement best practices for research software engineering, including version control (Git), modular design, documentation, and Continuous Integration (CI/CD).
- Establish and uphold quality assurance standards for data integrity, reporting consistency, and experiment traceability.
Analysis and Knowledge dissemination:
- Analyze data and lead the preparation of manuscripts, conference presentations, and other knowledge translation activities.
- Support grant preparation by defining methodology, feasibility arguments, and generating preliminary results.
General responsibilities:
- Collaborate with the PI to plan and manage project timelines and work plans.
- Coordinate with relevant departments at CAMH, as well as collaborator and funder organizations.
- Monitor project budgets to ensure accurate expenditure tracking and timely reconciliation.
- Provide functional supervision, training, and mentorship to research staff and trainees, fostering a learning-focused culture.
- Maintain a work environment that embraces diversity and is free of harassment and discrimination.
Job Requirements
-
PhD in Computer Science, Computer Engineering, or a related field.
-
Minimum 1 year of relevant research experience (including postdoctoral training).
-
Demonstrated expertise in AI/ML research, numerical analysis, uncertainty quantification, and the reproducibility of computational pipelines.
-
Strong scientific programming experience in Python (NumPy, SciPy, Pandas) and PyTorch.
-
Proficiency in Linux environments, bash scripting, and software engineering best practices (Git, modular design, CI/testing).
-
Experience with neuroimaging software suites (e.g., FreeSurfer, FSL, SPM).
-
Strong publication record and ability to contribute to research deliverables (papers, presentations, documentation) and contributions to successful grant applications.
-
Excellent written and verbal communication skills in English.
-
Strong organizational and collaboration skills, with the ability to make day-to-day operational decisions and work effectively in diverse, multidisciplinary environments.
-
Knowledge of the discipline, protocols, and regulatory requirements of the designated research area.
-
Ability to collaborate effectively with colleagues and the scientific community.
-
Demonstrated ability to interact with populations of diverse ethno-racial and cultural backgrounds.
Preferred:
- Experience with performance optimization and High-Performance Computing (HPC) workflows (e.g., Slurm, profiling, scalable experiment execution).
- Familiarity with ETL-style pipelines, structured data formats (Parquet/JSON), and REST APIs.
- Experience mentoring students and contributing to collaborative, multidisciplinary projects.
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, 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.
About CAMH
The Centre for Addiction and Mental Health (CAMH) is Canada's largest mental health and addiction teaching hospital. CAMH combines clinical care, research, education, policy development and health promotion to help transform the lives of people affected by mental health and addiction issues.
As a teaching hospital, CAMH provides education, training, internships and residencies for students. People training to work in the health care field, including psychiatrists, psychologists, pharmacists, nurses, occupational therapists, social workers and laboratory technologists, come to CAMH for practical experience.
We believe that Mental Health is Health, and through our work we are building a movement for social change: raising awareness, challenging prejudice, and advocating for public policies that support mental health.
Please note that our social media channels are not monitored 24/7. If you are experiencing thoughts of suicide, you are deserving of help - visit www.camh.ca/gethelp for more information. If you feel safe in the moment, follow up with your family physician or care team. If you require immediate, in-person emergency care, call 911, or go to your nearest emergency department.
Scientific Associate - Krembil Centre for Neuroinformatics
Top Benefits
About the role
Job Description
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**.**
The AI in Mental Health — Epics Lab at the Krembil Centre for Neuroinformatics (KCNI) within the Centre for Addiction and Mental Health (CAMH), applies artificial intelligence (AI) and Machine Learning (ML) to develop predictive models of mental health. Our mission is to accelerate understanding of mental illness and addiction, while advancing diagnosis, management, and therapeutic interventions. We integrate AI/ML, neuroinformatics, and high-performance computing (HPC) to enhance the reliability, reproducibility, and clinical relevance of neuroimaging and data-driven approaches in mental health research. All our work is conducted in a collaborative, open-science environment.
We are seeking a full-time, contract (6 months) Scientific Associate, with strong experience in AI/ML research, numerical analysis, and scientific software development, to support a study focused on the numerical stability of AI models in longitudinal neuroimaging pipelines. The Scientific Associate will apply knowledge of AI/ML frameworks and methodologies in studies led by Principal Investigator (PI) in areas including, but not limited to: numerical analysis, Deep Learning, neuroimaging, as well as preparation of REB applications, protocols, standard operating procedures, research reports, grants, conference presentations, papers for publication, and other knowledge translation activities. The Scientific Associate will also contribute to mentorship of staff and research trainees as appropriate.
Key Accountabilities:
Research application and ethics protocol submissions:
- Lead study activities, including the development of Research Ethics Board (REB) submissions, SOPs, case report forms, literature reviews, and project documentation.
- Support the PI’s funding strategy by contributing substantively to the writing and submission of grant applications.
- Liaise with clinicians, scientists, and internal/external collaborators during both proposal development and study execution.
- Ensure compliance with Good Clinical Practice (GCP), regulatory standards, and institutional guidelines.
Data Handling, Quality Assurance & Reproducibility:
- Build and maintain reproducible AI/ML and neuroimaging pipelines for large-scale experimentation, ensuring robust data validation and quality control.
- Implement best practices for research software engineering, including version control (Git), modular design, documentation, and Continuous Integration (CI/CD).
- Establish and uphold quality assurance standards for data integrity, reporting consistency, and experiment traceability.
Analysis and Knowledge dissemination:
- Analyze data and lead the preparation of manuscripts, conference presentations, and other knowledge translation activities.
- Support grant preparation by defining methodology, feasibility arguments, and generating preliminary results.
General responsibilities:
- Collaborate with the PI to plan and manage project timelines and work plans.
- Coordinate with relevant departments at CAMH, as well as collaborator and funder organizations.
- Monitor project budgets to ensure accurate expenditure tracking and timely reconciliation.
- Provide functional supervision, training, and mentorship to research staff and trainees, fostering a learning-focused culture.
- Maintain a work environment that embraces diversity and is free of harassment and discrimination.
Job Requirements
-
PhD in Computer Science, Computer Engineering, or a related field.
-
Minimum 1 year of relevant research experience (including postdoctoral training).
-
Demonstrated expertise in AI/ML research, numerical analysis, uncertainty quantification, and the reproducibility of computational pipelines.
-
Strong scientific programming experience in Python (NumPy, SciPy, Pandas) and PyTorch.
-
Proficiency in Linux environments, bash scripting, and software engineering best practices (Git, modular design, CI/testing).
-
Experience with neuroimaging software suites (e.g., FreeSurfer, FSL, SPM).
-
Strong publication record and ability to contribute to research deliverables (papers, presentations, documentation) and contributions to successful grant applications.
-
Excellent written and verbal communication skills in English.
-
Strong organizational and collaboration skills, with the ability to make day-to-day operational decisions and work effectively in diverse, multidisciplinary environments.
-
Knowledge of the discipline, protocols, and regulatory requirements of the designated research area.
-
Ability to collaborate effectively with colleagues and the scientific community.
-
Demonstrated ability to interact with populations of diverse ethno-racial and cultural backgrounds.
Preferred:
- Experience with performance optimization and High-Performance Computing (HPC) workflows (e.g., Slurm, profiling, scalable experiment execution).
- Familiarity with ETL-style pipelines, structured data formats (Parquet/JSON), and REST APIs.
- Experience mentoring students and contributing to collaborative, multidisciplinary projects.
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, 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.
About CAMH
The Centre for Addiction and Mental Health (CAMH) is Canada's largest mental health and addiction teaching hospital. CAMH combines clinical care, research, education, policy development and health promotion to help transform the lives of people affected by mental health and addiction issues.
As a teaching hospital, CAMH provides education, training, internships and residencies for students. People training to work in the health care field, including psychiatrists, psychologists, pharmacists, nurses, occupational therapists, social workers and laboratory technologists, come to CAMH for practical experience.
We believe that Mental Health is Health, and through our work we are building a movement for social change: raising awareness, challenging prejudice, and advocating for public policies that support mental health.
Please note that our social media channels are not monitored 24/7. If you are experiencing thoughts of suicide, you are deserving of help - visit www.camh.ca/gethelp for more information. If you feel safe in the moment, follow up with your family physician or care team. If you require immediate, in-person emergency care, call 911, or go to your nearest emergency department.