Data Scientist

Salary
The salary range for this position is CAD $55.25 - $79.42 / hour
Job Summary
Are you looking for that opportunity to put your established data expertise to use in healthcare? Do you take responsibility for your own performance and aim to model integrity, resilience and confidence? If you have answered “yes”, we want you to keep reading We are currently looking for a Full Time Data Scientist to join our Centre for Advanced Analytics, Data Science, and Innovation (CAADSI) team at the Central City office located in Surrey, B.C. with flexible work options.
Position Highlights
Work as the lead Data Scientist and strategist to foster and develop a solid and sustainable machine learning foundation and competency for Fraser Health.
Work closely with clinical and leadership teams across the health authority to strategize, develop, and implement artificial intelligence (AI) products.
Identify, clean, and integrate large sets of structured and unstructured datasets from disparate sources for use in ML models and products. Enhance data collection procedures to include information that is relevant for building advanced ML models.
Use advanced ML processes to convert data from non-functional forms, such as scanned image text, to functional forms ready for use in further ML models.
Use advanced ML models to identify patterns, trends, and opportunities that can make predictions or reduce workload to make a significant impact across various clinical domains within Fraser Health.
Lead the process of implementation of ML models into production by collaborating and guiding developers.
Identify, engage, and collaborate with specific stakeholders as required for the development of AI products.
Communicate analytic solutions to leadership and inform leadership of AI product status throughout the various stages of the product lifecycle.
Make recommendations to leadership regarding strategic actions to maintain the ML development pipeline, analytic architectures, and life cycle to avoid potential negative consequences and system failures, increasing positive impact of ML systems.
Maintain detailed project status plans to achieve ML development cycle timelines, avoiding development delays.
Assess and implement improvements as needed to existing AI products and create anomaly detection systems to track performance and data accuracy.
Keep up-to-date with latest technology trends and methods.

Ideal Qualifications
PHD in Statistics, Mathematics, Computer Science or another quantitative field.
Five to seven years of experience working with large datasets and machine learning models.
Experience with Generative AI and Large Language Models is preferred.
An equivalent combination of education, training and experience may be acceptable.

Benefits
A career with Fraser Health will offer you the opportunity to be a part of a dedicated team of experts in a dynamic and rewarding health care environment.
We offer a competitive compensation and benefit package, including comprehensive health benefits coverage.

Responsibilities
Work as the lead Data Scientist and strategist for the assigned program, fostering and developing a solid and sustainable machine learning foundation and competency for Fraser Health.
Work closely with clinical and leadership teams across the health authority to strategize, develop, and implement artificial intelligence (AI) products.
Identify, clean, and integrate large sets of structured and unstructured datasets from disparate sources for use in ML models and products. Enhance data collection procedures to include information that is relevant for building advanced ML models.
Use advanced ML processes to convert data from non-functional forms, such as scanned image text, to functional forms ready for use in further ML models.
Use advanced ML models to identify patterns, trends, and opportunities that can make predictions or reduce workload to make a significant impact across various clinical domains within Fraser Health.
Lead the process of implementation of ML models into production by collaborating and guiding developers.
Identify, engage, and collaborate with specific stakeholders as required for the development of AI products.
Communicate analytic solutions to leadership and inform leadership of AI product status throughout the various stages of the product lifecycle.
Make recommendations to leadership regarding strategic actions to maintain the ML development pipeline, analytic architectures, and life cycle to avoid potential negative consequences and system failures, increasing positive impact of ML systems.
Maintain detailed project status plans to achieve ML