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 Geriatric Mental Health Research Services (GMHRS) at the Centre for Addiction and Mental Health (CAMH) is seeking a casual, Scientific Associate to provide computational support (with a focus on ML, Signal Processing, Entropy) in the analysis of biomarkers data, in particular EEG data.
The candidate will report to the Research Operations Manager of GMHRS. The position will require the individual to apply advanced programming skills (in R/Python) to process and analyze large datasets, while working collaboratively with interdisciplinary teams. The successful candidate will be expected to assist with study start-up (e.g., supporting ethics submissions, writing study protocols), work closely with GMHRS personnel to compile sensitive participant data, analyze data, co-supervise students and junior staff, produce manuscripts, and assist with grant writing. The candidate will support a workplace that embraces diversity, encourages teamwork, and complies with all applicable regulatory and legislative requirements. This position is primarily located at 1025 Queen Street West campus.
Job Requirements
- The successful candidate must have a PhD in Psychology/Biostatistics, Computer Science, or in a relevant field
- A minimum of at least one(1) years relevant research experience
- Extensive experience analyzing EEG data with preference given to candidates who have employed methods in EEG analyses
- Demonstrated familiarity with analysis tools and methods
- Advance programming skills in R/Python, with demonstrated familiarity with other analysis tools and methods
- Experience with EEG in geriatric and neuodegenerative diseases populations is highly desired
- A proven track record and aptitude in scientific publishing
- The candidate is expected to have previously carried out and published research related to EEG and signal processing with evidence of publication in high-impact journals
- The candidate must have excellent verbal and written communication skills
- Experience supervising staff and students
- Ability to collaborate effectively with colleagues and the scientific community
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.
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 Geriatric Mental Health Research Services (GMHRS) at the Centre for Addiction and Mental Health (CAMH) is seeking a casual, Scientific Associate to provide computational support (with a focus on ML, Signal Processing, Entropy) in the analysis of biomarkers data, in particular EEG data.
The candidate will report to the Research Operations Manager of GMHRS. The position will require the individual to apply advanced programming skills (in R/Python) to process and analyze large datasets, while working collaboratively with interdisciplinary teams. The successful candidate will be expected to assist with study start-up (e.g., supporting ethics submissions, writing study protocols), work closely with GMHRS personnel to compile sensitive participant data, analyze data, co-supervise students and junior staff, produce manuscripts, and assist with grant writing. The candidate will support a workplace that embraces diversity, encourages teamwork, and complies with all applicable regulatory and legislative requirements. This position is primarily located at 1025 Queen Street West campus.
Job Requirements
- The successful candidate must have a PhD in Psychology/Biostatistics, Computer Science, or in a relevant field
- A minimum of at least one(1) years relevant research experience
- Extensive experience analyzing EEG data with preference given to candidates who have employed methods in EEG analyses
- Demonstrated familiarity with analysis tools and methods
- Advance programming skills in R/Python, with demonstrated familiarity with other analysis tools and methods
- Experience with EEG in geriatric and neuodegenerative diseases populations is highly desired
- A proven track record and aptitude in scientific publishing
- The candidate is expected to have previously carried out and published research related to EEG and signal processing with evidence of publication in high-impact journals
- The candidate must have excellent verbal and written communication skills
- Experience supervising staff and students
- Ability to collaborate effectively with colleagues and the scientific community
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.