Research Data & Infrastructure Analyst

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.

In the School of Medicine, we are committed to shaping the future of healthcare through innovative education, groundbreaking research, and community engagement. As we embark on this journey to redefine medical education, we are seeking passionate individuals who are eager to contribute to our mission.

We envision a medical education system where students and residents learn as part of a team in primary care, community-level settings and patient-centred environments. Our curriculum considers social, environmental and prevention contexts while seeking to advance reconciliation by embedding and equalizing Indigenous knowledge systems in our learning, research and practices. As we establish the School of Medicine in Surrey, B.C., we will foster our growing relationships with the local community, Fraser Health Authority, First Nations Health Authority, physicians and Indigenous partners who will help us meet the diverse health needs of the communities we serve. We seek to improve access to primary care throughout the province while resting on a solid foundation of high-quality, accredited education and world-class research efforts that keep us oriented toward measurable and socially accountable outcomes.

About the Role

The Research Data and Infrastructure Analyst plays a key role in strengthening the School of Medicine’s Research Division by developing, managing, and optimizing research data systems and analytics. The position ensures secure, high-quality, and reproducible data management while enabling researchers to access and analyze complex datasets for evidence-based insights. By building robust data infrastructure, dashboards, and reporting tools, the role supports research excellence and informed decision-making across the Division. It also contributes to advancing data governance, improving research efficiency, enhancing cross-institutional collaboration, and strengthening Indigenous data sovereignty practices. Key upcoming initiatives include improving the research data repository, expanding linked dataset analysis, and developing automated performance dashboards.

The ideal candidate is a highly analytical and detail-oriented professional with strong expertise in research data management, biostatistics, or data science. They have advanced technical skills in R, Python, and SQL, and experience working with large-scale or linked administrative datasets in academic or healthcare settings. Success in this role requires strong knowledge of data governance, research methodologies, and best practices in data quality, security, and reproducibility. The candidate demonstrates excellent problem-solving, communication, and stakeholder collaboration skills, along with the ability to translate complex data into actionable insights. Experience with Indigenous data sovereignty principles and ethical research practices is essential.

Full Job Description

Qualifications

Master’s degree in Biostatistics or Data Science, Health Sciences, Health Policy or related discipline and five years of related experience within a medical or academic institution or an equivalent combination of education, training and experience.

• Demonstrated experience in managing and analyzing large-scale research datasets, including provincial, national, or multi-institutional administrative data.
• Strong proficiency in R, Python, and SQL, with experience using open coding frameworks for reproducible research analysis.
• In-depth knowledge of research data governance, data management best practices, and regulatory standards in academic and medical research environments.
• Experience applying Indigenous data sovereignty principles, including OCAP training and respectful data stewardship practices.
• Strong project management skills with the ability to manage competing priorities, track milestones, and support complex research initiatives.

What We Offer

At SFU, our goal is to ensure our people are valued and supported by promoting a healthy work-life balance, professional growth and development, as well as a safe and respectful workplace. We offer continuing employees who belong in the Administrative & Professional Staff Association (APSA):

• 4 weeks’ vacation (prorated for the first year)*
• Hybrid-work program for eligible positions
• Employer paid defined benefit pension plan
• On-campus tuition waiver for employees and their immediate family members*
• Off-campus tuition reimbursements and professional development funds*
• And more! View our benefits brochure

*Prorated for part-time employees

Additional Information

Please include your cover letter and resume in one attachment.

SFU is an equity employer and strongly encourages applications from all qualified individuals including women, Indigenous Peoples, visible minorities, people of all sexual orientations and gender identities, persons with disabilities, and others who may contribute to the further diversification of the university.

We are committed to ensuring that the application and interview process is accessible to all applicants. If you require any assistance or accommodations, please contact pei_reception@sfu.ca.