Description
The Department of Community Health Sciences in the Cumming School of Medicine invites applications for a Data Analyst. This Full-time Fixed Term position is for approximately 12 months (based on length of grant funding), with the possibility of extension.
Reporting to the Principal Investigator.
Summary of Key Responsibilities (job functions include but are not limited to):
Research
- Accurate and timely analysis of results in accordance with project objectives and deliverables
- Clear and accurate database-related documentation outlining steps performed in the extraction, cleaning and analysis
- Perform complex functions (including supervised machine learning analysis) successfully with minimal direction
- Write R, Python, Stata, or SAS codes
- Identify and correct errors, and validate output and results
- Perform and interpret basic (Chi-square, t-tests, Mann Whitney tests, etc.) and advanced analyses (supervised machine learning, competing risks/multi-state modelling, etc.)
- Develop and/or learn new statistical methods to better address research objectives
- Resourceful, innovative, and creative problem-solving
- Require flexibility and the ability to handle change with ease
- Establishes and maintains effective, productive relationships with staff, peers, and collaborators
- Compile tables, charts, graphs, and summarized statistics for integration in research papers and reports. This includes materials for presentation and publication
- Complete other research tasks as requested by the research team
Project Management
- Assume responsibility for the successful and timely completion of data analysis of assigned projects, from project inception to closure
- Develop operating procedures and make recommendations on workflow related to data handling
Administrative
- Maintain the electronic organization of project files, including datasets, annotated statistical code, and software outputs
- Ensure compliance with research study protocols and file management system
Qualifications / Requirements:
- Master's degree in clinical epidemiology, biostatistics, health services/system research, mathematics & statistics, data science, health informatics, applied econometrics or other computationally/quantitatively intensive area (preferably related to medicine/health but not a requirement)
- 3-5 years of experience applying advanced machine learning and statistical methods, preferably in healthcare, research, or university settings
- Advanced skills in statistical software programs (e.g., Python, R, STATA)
- Advanced skills in Microsoft Office Suite (Word, Outlook, Excel, PowerPoint)
- Excellent interpersonal skills. Demonstrated ability to productively work with a fast-paced multidisciplinary team
- Ability to problem solve in complex situations
- Strong organizational skills, with excellent attention to detail and the ability to handle multiple tasks and follow instructions
- Demonstrated strong written and oral communication skills. Ability to prepare clear, well-written reports and documentation of analytic processes
Application Deadline: June 26, 2025
We would like to thank all applicants in advance for submitting their resumes. Please note, only those candidates chosen to continue on through the selection process will be contacted.
This position is part of the AUPE bargaining unit, and falls under the Technical Job Family, Phase 2.
For a listing of all management and staff opportunities at the University of Calgary, view our Management and Staff Careers website.
About the University of Calgary
UCalgary is Canada's entrepreneurial university, located in Canada's most enterprising city. It is a top research university and one of the highest-ranked universities of its age. Founded in 1966, its 36,000 students experience an innovative learning environment, made rich by research, hands-on experiences and entrepreneurial thinking. It is Canada's leader in the creation of start-ups. Start something today at the University of Calgary. For more information, visit ucalgary.ca.
The University of Calgary has launched an institution-wide Indigenous Strategy committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do.
As an equitable and inclusive employer, the University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. In particular, we encourage members of the designated groups (women, Indigenous peoples, persons with disabilities, members of visible/racialized minorities, and diverse sexual orientation and gender identities) to apply. To ensure a fair and equitable assessment, we offer accommodation at any stage during the recruitment process to applicants with disabilities. Questions regarding [diversity] EDI at UCalgary can be sent to the Office of Institutional Commitments (equity@ucalgary.ca) and requests for accommodations can be sent to Human Resources (hrhire@ucalgary.ca).
Do you have most but not all the qualifications? Research show that women, racialized and visible minorities, and persons with disabilities are less likely to apply for jobs unless they meet every single qualification. At UCalgary we are committed to achieving equitable, diverse, inclusive and accessible employment practices and workplaces and encourage you to apply if you believe you are right for this role.
We encourage all qualified applicants to apply, however preference will be given to Canadian citizens and permanent residents of Canada.
