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 informs 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 increase positive impact of ML systems.
• Maintain detailed project status plans in order to achieve ML development cycle timelines avoiding development delays
• Assess and implement improvements as needed to already existing AI products and creates anomaly detection systems to track performance and data accuracy.
• Keep up-to-date with latest technology trends and methods.

To join our team, ideally, we are looking for you to have:

• 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

If this sounds like the ideal role for you, here are more reasons why you should apply:

• 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.

Are you ready to take the next step in your career? Apply today so we can continue the conversation and make a difference in the communities we serve. We value diversity in the work force and aim to maintain an environment of Respect, Caring & Trust.

Supporting the Vision, Values, Purpose and Commitments of Fraser Health including service delivery that is centered around patients/clients/residents and families:

Reporting to the Senior Data Scientist, the Data Scientist acts in accordance with the cognitive computing priorities of Fraser Health to build and increase capacity and support for the cognitive computing learning systems to create and enhance insights gained from analyzing quality data. The Data Scientist adeptly uses large data sets and machine learning (ML) models to find opportunities for product and process optimization as well as to test the effectiveness of different courses of action. Discovers solutions hidden in large data sets and works with stakeholders and functional teams to improve business processes and outcomes.