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

.

On November 30, 2024, 9-8-8 was launched in Canada as a new national three-digit number for suicide prevention and emotional distress. In 2022, CAMH was announced as the lead for the coordination and administration of 9-8-8, and has acted in this capacity to lead and coordinate the implementation of 9-8-8 and manage the operations and post-launch activities. As of November 2023, this ground-breaking new service is available 24/7/365, in English and French, and accessible to everyone from coast to coast to coast. CAMH is working closely with the federal government and key partners from different groups and communities, provinces, territories and building on our work on Talk Suicide Canada, to deliver this high quality, evidence-based, equitable suicide prevention service to Canada.


Since launching, 9-8-8 has amassed a large quantity of data, having received over 300 000 calls and texts in the first year of service. CAMH is looking to meaningfully leverage machine learning/artificial intelligence and/or large language models and related research methodologies to analyze this data to better support process and quality improvement for 9-8-8, including updates for communication, training, measuring outcomes, evaluation, and service delivery.


CAMH is seeking a

full time, contract (1 year)

Data Engineer to support projects of 9-8-8 related to the use of digital health and AI technologies. Reporting to the Data Engineering Lead, the Data Engineer will work closely with the Enterprise Data Warehouse team and the 9-8-8 Evaluation and Research Team to support all aspects of the planning and execution of said projects.


The Data Engineer will build and maintain the critical data infrastructure supporting our mental health analytics initiatives, including secure pipelines for processing sensitive call and text transcripts while ensuring healthcare privacy compliance. They will establish scalable database architectures for historical and real-time data, develop ETL processes to transform raw transcripts into ML-ready datasets, and create real-time processing systems for live sentiment analysis and emergency intervention flagging. The role also involves implementing automated data quality monitoring and building integration frameworks that combine caller demographics, interaction history, and conversation metadata to power personalized recommendations and resource forecasting across all four use cases.

Key Accountabilities

Your responsibilities include:


Build secure data pipelines for call/text transcripts while ensuring HIPAA compliance Design scalable databases to store conversation data, caller profiles, and historical interactions Create real-time processing systems for live sentiment analysis and emergency intervention alerts Develop automated ETL workflows to prepare transcript data for machine learning applications Implement data privacy and data de-identification processes in ETL workflows Implement data quality monitoring to ensure accurate and consistent analytics outputs Integrate multiple data sources (caller profiles, conversation history, responder metrics) into unified datasets Support predictive analytics infrastructure for demand forecasting and resource allocation Build APIs and data access layers connecting ML models to responder dashboard systems Maintain data governance protocols including access controls and regulatory compliance measures Collaborate with data science team to optimize data structures for NLP model development Create reports and dashboards to support 9-8-8 project operational needs

The position is based at the Krembil Centre for Neuroinformatics, located at 250 College Street.

Job Requirements

Bachelor's degree in Computer Science, Mathematics, Bioinformatics or related field. 3 years of experience implementing data management systems and/or integration of big data from multiple sources, preferably in a data warehouse or data lake environment; this includes relational, non-relational, and object store technologies 3+ years of experience with Python, R and/or SQL for data manipulation. 3+ years of experience with ML/AI pipeline engineering and analysis Expert level knowledge of Tableau and/or other dashboard and visualization technologies Expert industry knowledge of data engineering systems, data models, and data structures Strong understanding of cloud environments and resource utilization strategies Strong personnel management, organizational skills and a sense of diplomacy Familiarity with DevOps best practices, Kubernetes deployments, and Docker image and container management Domain knowledge in medical data preferred with an interest in mental health applications Experience working in a Unix environment and with Bash or other Unix shells * Experience with Gitlab or Github for source code management