Senior Data Scientist

Fraser Health is responsible for the delivery of hospital and community-based health services to over 1.9 million people in 20 diverse communities from Burnaby to Fraser Canyon on the traditional territories of the Coast Salish and Nlaka’pamux Nations. Our team of 48,000+ staff, medical staff and volunteers is dedicated to serving our patients, families and communities to deliver on our vision: Better health, best in health care.

As a Senior Data Scientist you will be responsible for the assigned machine learning and artificial intelligence (ML/AI) projects, providing end-to-end technical execution and project management across a multi-disciplinary technical team comprised of Senior Operations Engineers, Operations Research Scientists, Data Scientists, Data Analysts, Solutions Architect and Data Engineers. The Senior Data Scientist will design, develop and deploy cloud or on-premises innovative advanced analytics, machine learning and artificial intelligence solutions to improve service quality, patient safety and patient outcomes.

At The Center for Advanced Analytics, Data Science and Innovation (CAADSI) of Fraser Health, we are looking for a Senior Data Scientist to join our agile and fast paced team. Reporting to the Director of Data Science, a senior data scientist is a multifaceted professional who plays a pivotal role in guiding a team of data scientists. They are responsible for overseeing the execution of data science projects, maintaining technical expertise, solving complex data-related challenges, collaborating with cross-functional teams, and driving the organization's data strategy. Additionally, they facilitate the growth and development of their team, ensure data quality and ethical standards, manage risks, promote innovation, and communicate effectively with non-technical stakeholders through compelling storytelling techniques. This comprehensive role blends technical acumen, leadership, project management, and strategic thinking to drive data-driven success and deliver valuable insights that impact Fraser Health's decision-making processes.

We currently have a Full Time vacancy for this role based at our Central City offices in Surrey, BC, with access to rapid transit, shopping, restaurants, on-site gym and other amenities.

Job duties:

• Provides technical direction and project oversight to the Data Scientists, ensuring clarity around priorities and goals, as well as working across functions with peers in the other Health Informatics groups to ensure collaboration for shared goals.
• Guarantees best practices of data science, ML/AI and Operations Research techniques are appropriately applied to the projects, including scalable deployment of AI solutions to clinical settings as per industry standards in MLOps, alignment with the business objectives, clinical workflow, and organizational technologies and infrastructure both current and future.
• Develops annual strategic roadmap within a set of assigned portfolios and programs, focused on driving transformational results through advanced analytics in conjunction with other partners, communicates our strategy with partners internal and external to FHA and tracks progress towards key milestones.
• Leads the design, development, quality assurance, deployment, and transition to support of Advanced Analytics solutions utilizing optimization and data science techniques for FHA clients with scalability to health care industry clients.
• Liaises with FHA HIIT, PHSA IMITS, and major Cloud vendors (Microsoft Azure, Amazon AWS) to ensure effective utilization of cloud resources to build and manage advanced analytics applications.
• Supports Managing Consultants and Operations Engineers in user change management and workflow (re)designs around ML/AI solutions.

Qualifications:

• PhD Degree in a quantitative field such as Operations Research, Data Science, Computer Science, Quantitative Healthcare Research, Math, Physics or a related Engineering degree
• Seven (7) years’ experience developing advanced analytics solutions preferably in the Health Care industry, including two (2) years’ leadership experience

An equivalent combination of education, training and experience may be considered.

Responsibilities

1. Provides technical direction and project oversight to the Data Scientists, ensuring clarity around priorities and goals, as well as working across functions with peers in the other Health Informatics groups to ensure collaboration for shared goals.
2. Guarantees best practices of data science, ML/AI and Operations Research techniques are appropriately applied to the projects, including scalable deployment of AI solutions to clinical settings as per industry standards in MLOps, alignment with the business objectives, clinical workflow, and organizational technologies and infrastructure both current and future.
3. Develops annual strategic roadmap within a set of assigned portfolios and programs, focused on driving transformational results through advanced analytics in conjunction with other partners, communicates our strategy with partners internal and external to FHA and tracks progress towards key milestones.
4. Leads the design, development, quality assurance, deployment, and transition to support of Advanced Analytics solutions utilizing optimization and data science techniques for FHA clients with scalability to health care industry clients.
5. Liaises with FHA HIIT, PHSA IMITS, and major Cloud vendors (Microsoft Azure, Amazon AWS) to ensure effective utilization of cloud resources to build and manage advanced analytics applications.
6. Supports Managing Consultants and Operations Engineers in user change management and workflow (re)designs around ML/AI solutions.
7. Collaborates with leadership to share success stories (and failures) in an effort to increase operations research and data science literacy and adoption across the organization.
8. Actively contributes to research community through journal publications, participation at conferences, seminars, workshops, university relations.
9. Serves as a senior consultant and project manager for assigned data analytics projects, including the development, monitoring and evaluation of project plans and deliverables. Collaborates with leaders across the organization to enable system improvement outcomes.
10. Collaborates with Senior Leadership Team on data-driven innovations and preparation of confidential analytical analysis and briefings for the Board as required, and using information at the national, provincial and regional levels in addition to corporate information sources.
11. Builds effective relationships with internal/external partners and ensures alignment.
12. Holds responsibility for hiring, supervising, disciplining and terminating team staff members. Escalates tactical and strategic capacity issues to Data Science Manager.

About Fraser Health

Fraser Health is the heart of health care for over two million people in Metro Vancouver and the Fraser Valley in British Columbia, Canada, on the traditional, ancestral and unceded lands of the Coast Salish and Nlaka’pamux Nations and is home to 32 First Nations within the Fraser Salish region.

People - those we care for and those who care for them - are at the heart of everything we do. Our hospital and community-based services are delivered by a team of 48,000+ staff, medical staff and volunteers.

We are committed to planetary health and value diversity in the work force. We strive to maintain an environment of respect, caring and trust. Fraser Health’s hiring practices aspire to ensure all individuals are treated in an inclusive, equitable and culturally safe manner.

Together, we are the heart of health care.

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