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Added 4 mins ago
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Full Stack Engineer
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- Full-time
Our users trust us with the most sensitive conversations they have. That makes security part of the product, not a feature on top of it.
Added 20 mins ago
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Support Risk Control Observability reporting initiatives, scorecard development, stakeholder roadshows, and alignment with governance forums.
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- $75 to $85 CAD / hour
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Added 35 mins ago
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As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
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Manager Tech Delivery / Partner Mgmt
TD
Toronto, ON
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.
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Added 50 mins ago
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Added 1 hour ago
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Added 1 hour ago
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- Full-time
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Added 3 hours ago
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Added 4 hours ago
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…procedures. Some judgment may be required but this is typically with…
Added 5 hours ago
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University of Calgary

Intermediate Data Management Specialist, Oncology

Calgary, AB, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 20, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

Description

The Department of Oncology in the Cumming School of Medicine invites applications for an Intermediate Data Management Specialist. This Full-time Fixed Term position is for approximately 12 months (based on length of grant funding), with the possibility of extension.

The position will focus on developing and implementing reproducible coding pipelines to automate cleaning and processing of medical image data and analyze image data to for various research projects in lung cancer screening. Conducting studies focused on the implementation and optimization of lung cancer screening in Alberta and the development of novel methods for the early detection of lung cancer.

This position reports to the Principal Investigator.

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

Designing, building, and maintaining data pipelines
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
Develop and apply machine learning (ML) approaches for health outcome prediction and risk assessment
Application of commercial and open-source AI tools to medical images for various tasks including segmentation, feature extraction, risk assessment, classification, etc.
Manipulating large and complex data sets, including multi-model medical images (e.g., CT, CXR, etc.)
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 with, or interest in, learning new skills in working with medical images (e.g., CT) and common storage formats (e.g., DICOM, Nifti, NRRD)
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 20, 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

Develop and maintain reproducible pipelines to clean, process, and analyze large medical imaging and other research datasets for lung cancer screening and early-detection studies. Apply statistical and machine-learning methods, manage data quality and documentation, and report analytical results to investigators and the research team.

Requirements

A minimum bachelor's degree in computer science, data science, or a related discipline is required; a master's degree is preferred. Applicants need programming and data-management experience, including at least one year applying data-management approaches in a health workplace, and strong communication and collaboration skills; medical imaging, epidemiology, biostatistics, and data science experience are assets.

Skills

Data Pipeline Development
Data Management
Python
R
Medical Image Processing
Machine Learning
Artificial Intelligence
Statistical Analysis
Database Management
SQL
Data Wrangling
Data Quality Assurance
Epidemiology
Biostatistics
Technical Writing
Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
R
SQL
Apache Arrow
CSV
Excel
JSON
XML
DICOM
NIfTI
NRRD
Medical Imaging
Computed Tomography
Chest X-Ray
Data Pipelines
Data Management
Data Cleaning
Data Processing
Data Wrangling
Machine Learning
Artificial Intelligence
Image Segmentation
Feature Extraction
Risk Assessment
Classification
Statistical Analysis
Epidemiology
Biostatistics
Lung Cancer Screening
Data Quality

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