Associate Director, Data Science - School of Medicine
About the role
Union/Affiliation:
Administrative and Professional Staff (APSA)
Pay range:
$99,865 to $119,148 annually
SFU Department Descr:
School of Medicine - Undergraduate Medical Education
Position Grade:
12
of openings:
1
Biweekly Hours:
72
Who We Are
Simon Fraser University is a leading research university, advancing an inclusive and sustainable future. Our purpose – the essence of SFU – is to create and connect knowledge, learning and community for deeper understanding and meaningful impact. We are committed to fostering excellence, innovation, belonging and community in all that we do.
Help build B.C.’s new medical school from the ground up!
At the SFU School of Medicine (School), we envision a medical education system where students and residents learn as part of a team in primary care and other community-level settings, in patient-centred environments, and with a curriculum that considers social, environmental and prevention contexts. As we establish the school in Surrey, B.C., our growing relationships with the local community, Fraser Health Authority, First Nations Health Authority, physicians and Indigenous partners will help us to meet the diverse health needs of the communities we serve and improve access to primary care throughout the province. We seek to advance reconciliation by embedding and equalizing Indigenous knowledge systems in our learning, research and practices while resting on a solid foundation of high-quality, accredited education and world-class research efforts that keep us oriented towards measurable socially accountable outcomes.
The Assessment, Evaluation & Accreditation (AEA) Office supports the School of Medicine by developing integrated, evidence-informed systems that strengthen learner assessment, program evaluation, and accreditation. The team designs scalable data structures, dashboards, and analytic tools that enable real-time insights and support continuous quality improvement across programs. Working closely with faculty, academic leaders, and medical education technology partners, the AEA Office advances SFU’s commitment to innovation, excellence, and inclusive learning environments. Our team culture is analytical, collaborative, and learner-centred, grounded in integrity, reflective practice, and respect. We value curiosity, service, creativity, and data-informed approaches to strengthening medical education.
About the Role
The Associate Director, Data Science leads the development of AI-enhanced data systems that power learner assessment, program evaluation, and accreditation within the School of Medicine. This role designs scalable data engines, predictive models, and dashboards that provide actionable insights to strengthen academic success. Working collaboratively with faculty, technology teams, and administrative partners, the role advances analytics frameworks that identify learner needs, support curriculum development, and guide continuous quality improvement efforts. Upcoming initiatives include enhancing predictive modelling capacity, expanding NLP-supported analysis of narrative assessment data, refining accreditation-readiness dashboards, and implementing responsible AI governance. This position supports SFU’s commitment to evidence-based decision-making, innovation, and high-quality medical education while building capacity across the institution to interpret and apply data effectively.
The ideal candidate is a collaborative and innovative data science leader who combines technical depth with excellent communication skills. They excel in AI/ML modelling, statistical analysis, data architecture, and transforming complex datasets into clear insights for diverse audiences. Grounded in integrity, professionalism, and inclusive practice, they build strong relationships and mentor team members in emerging technologies. They are adaptable, solutions-focused, and skilled at planning and prioritizing within evolving environments. They embody SFU’s core competencies, demonstrating creativity, sound judgment, emotional intelligence, and a people-centred approach to supporting learner success and continuous quality improvement.
Full
About Simon Fraser University
As Canada’s engaged university, SFU works with communities, organizations and partners to create, share and embrace knowledge that improves life and generates real change. We deliver a world-class education with lifelong value that shapes change-makers, visionaries and problem-solvers. We connect research and innovation to entrepreneurship and industry to deliver sustainable, relevant solutions to today’s problems. With campuses in British Columbia’s three largest cities – Vancouver, Burnaby and Surrey – SFU has eight faculties that deliver 193 undergraduate degree programs and 127 graduate degree programs to more than 35,000 students. The university now boasts more than 160,000 alumni residing in 143 countries.
Associate Director, Data Science - School of Medicine
About the role
Union/Affiliation:
Administrative and Professional Staff (APSA)
Pay range:
$99,865 to $119,148 annually
SFU Department Descr:
School of Medicine - Undergraduate Medical Education
Position Grade:
12
of openings:
1
Biweekly Hours:
72
Who We Are
Simon Fraser University is a leading research university, advancing an inclusive and sustainable future. Our purpose – the essence of SFU – is to create and connect knowledge, learning and community for deeper understanding and meaningful impact. We are committed to fostering excellence, innovation, belonging and community in all that we do.
Help build B.C.’s new medical school from the ground up!
At the SFU School of Medicine (School), we envision a medical education system where students and residents learn as part of a team in primary care and other community-level settings, in patient-centred environments, and with a curriculum that considers social, environmental and prevention contexts. As we establish the school in Surrey, B.C., our growing relationships with the local community, Fraser Health Authority, First Nations Health Authority, physicians and Indigenous partners will help us to meet the diverse health needs of the communities we serve and improve access to primary care throughout the province. We seek to advance reconciliation by embedding and equalizing Indigenous knowledge systems in our learning, research and practices while resting on a solid foundation of high-quality, accredited education and world-class research efforts that keep us oriented towards measurable socially accountable outcomes.
The Assessment, Evaluation & Accreditation (AEA) Office supports the School of Medicine by developing integrated, evidence-informed systems that strengthen learner assessment, program evaluation, and accreditation. The team designs scalable data structures, dashboards, and analytic tools that enable real-time insights and support continuous quality improvement across programs. Working closely with faculty, academic leaders, and medical education technology partners, the AEA Office advances SFU’s commitment to innovation, excellence, and inclusive learning environments. Our team culture is analytical, collaborative, and learner-centred, grounded in integrity, reflective practice, and respect. We value curiosity, service, creativity, and data-informed approaches to strengthening medical education.
About the Role
The Associate Director, Data Science leads the development of AI-enhanced data systems that power learner assessment, program evaluation, and accreditation within the School of Medicine. This role designs scalable data engines, predictive models, and dashboards that provide actionable insights to strengthen academic success. Working collaboratively with faculty, technology teams, and administrative partners, the role advances analytics frameworks that identify learner needs, support curriculum development, and guide continuous quality improvement efforts. Upcoming initiatives include enhancing predictive modelling capacity, expanding NLP-supported analysis of narrative assessment data, refining accreditation-readiness dashboards, and implementing responsible AI governance. This position supports SFU’s commitment to evidence-based decision-making, innovation, and high-quality medical education while building capacity across the institution to interpret and apply data effectively.
The ideal candidate is a collaborative and innovative data science leader who combines technical depth with excellent communication skills. They excel in AI/ML modelling, statistical analysis, data architecture, and transforming complex datasets into clear insights for diverse audiences. Grounded in integrity, professionalism, and inclusive practice, they build strong relationships and mentor team members in emerging technologies. They are adaptable, solutions-focused, and skilled at planning and prioritizing within evolving environments. They embody SFU’s core competencies, demonstrating creativity, sound judgment, emotional intelligence, and a people-centred approach to supporting learner success and continuous quality improvement.
Full
About Simon Fraser University
As Canada’s engaged university, SFU works with communities, organizations and partners to create, share and embrace knowledge that improves life and generates real change. We deliver a world-class education with lifelong value that shapes change-makers, visionaries and problem-solvers. We connect research and innovation to entrepreneurship and industry to deliver sustainable, relevant solutions to today’s problems. With campuses in British Columbia’s three largest cities – Vancouver, Burnaby and Surrey – SFU has eight faculties that deliver 193 undergraduate degree programs and 127 graduate degree programs to more than 35,000 students. The university now boasts more than 160,000 alumni residing in 143 countries.