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University of Calgary

Data Management Specialist, Surgery

Calgary, AB, Canada

Job type: Full-time
Apply by: Oct 13, 2026
Posting language: English
Posted: Sep 29, 2026

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Original job description

Description

The Department of Surgery in the Cumming School of Medicine invites applications for a Data Management Specialist. This Full-time Fixed Term position is for approximately 1 year (based on length of grant funding), with the possibility of extension.

The position will report to the SPHERE program manager and will work closely with the Scientific Director of SPHERE and other Principal Investigators within the SPHERE program and is part of the Strategies for Precision Health in Breast Cancer (SPHERE) research program.

The primary purpose of the position is to design, build and maintain data pipelines for clinical, epidemiological and patient reported data, with an initial focus on data related to the RUBY Study. The position will be part of an established research infrastructure within SPHERE, which includes clinician-scientists, research program manager, research trainees and research coordinators.

Summary of Key Responsibilities (job functions include but are not limited to):

The successful candidate will work on designing, building, and maintaining data pipelines. Day-to-day activities will include working within a team to advance multiple research projects. Coding for existing data pipelines or de novo programming for programs and applications will be performed daily. Regular reporting of progress and process to the supervisors and to the team will be required. Documentation and communication of processes via various tools and software is essential. Advanced data processing and data management skills will be required. Independent judgment, attention to detail, ability to learn new methods and strong problem-solving skills will be essential in performing the job duties.

Additional data responsibilities include:

Developing data management pipelines
Helping with technical writing for grant applications and reporting
Developing and managing data application tools
Working with principal investigators to develop, document and disseminate data processes
Manipulating large and complex data sets, including administrative health databases
Assisting with reporting of processes and pipelines for data management
Conducting basic and advanced statistical analyses
Programming and/or implementing new statistical and machine learning methods
Conducting data quality checks as well as making and logging corrections
Documenting data analysis steps and program code
Preparing written summaries of data analyses that include figures and tables, as needed for scientific publications and presentations

Qualifications / Requirements:

A minimum of B.Sc. degree in Computer Science, Data Science, or related discipline. An M.Sc. degree is preferred
Excellent problem-solving skills and experience with programming (e.g., Python, R)
Experience with both tabular (e.g., CSV, delimited, Excel) and non-tabular (e.g., JSON, XML) data structures, including wrangling non-tabular data into tabular data
Experience in database management (e.g., SQL, Arrow)
Demonstrated ability to work with large, complex data sets stored in various databases
Minimum one year experience applying data management approaches in a health workplace setting
Excellent communication skills including advanced written and spoken English skills
Ability to work collaboratively with members of an interdisciplinary team
Knowledge and experience with epidemiologic, biostatistical, and clinical studies is an asset
Experience with, or interest in, gaining skills in data science is an asset

Application Deadline: October 13, 2026

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 ii' taa'poh'to'p 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.

The university's commitment to the Indigenous Strategy is evident through the oversight of 18 Elders serving on the Circle of Advisors and the many unit-based circles working towards implementation of the strategy including the Faculty Advisory Circle and teams such as the Office of Indigenous Engagement, the Writing Symbols Lodge, and the Indigenous Research Support Team. Many Indigenous-based events and processes are impacting curriculum, programming and polices at the University of Calgary.

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 ([email protected]) and requests for accommodations can be sent to People & Culture ([email protected]).

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.

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More about this job

Responsibilities

Design, build, and maintain data pipelines and applications for clinical, epidemiological, and patient-reported research data, including large and complex health datasets. Conduct statistical analyses and data quality checks, document data processes and code, and prepare reports and summaries for research teams and publications.

Requirements

A bachelor's degree in Computer Science, Data Science, or a related discipline is required; a master's degree is preferred. Applicants need programming experience, familiarity with structured and non-tabular data and databases, at least one year of health-workplace data management experience, and strong communication and collaboration skills.

Skills

Data Pipeline Development
Data Management
Python
R
SQL
Data Wrangling
Database Management
Statistical Analysis
Machine Learning
Data Quality Assurance
Epidemiology
Biostatistics
Clinical Research
Technical Writing
Problem-Solving
Interdisciplinary Collaboration

Visa sponsorship

Not detected in the job text

Keywords

Data Pipelines
Clinical Data
Epidemiological Data
Patient-Reported Data
RUBY Study
SPHERE Program
Python
R
SQL
Arrow
CSV
Excel
JSON
XML
Data Wrangling
Database Management
Large and Complex Datasets
Administrative Health Databases
Statistical Analysis
Machine Learning
Data Quality Checks
Data Applications
Technical Writing
Epidemiology
Biostatistics
Clinical Studies
Scientific Publications
Grant Applications

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