Intermediate Data Management Specialist, Oncology

University of Calgary; Calgary; On-site; CAD 60,000 - 90,000; Full time

Job summary

An established industry player seeks an Intermediate Data Management Specialist to enhance lung cancer research through innovative data management techniques. This role focuses on developing and automating coding pipelines for data processing, ensuring the integrity and usability of large datasets. The successful candidate will collaborate with a dynamic team, utilizing skills in programming and data analysis to contribute to groundbreaking medical research. This position offers a unique opportunity to work at the intersection of technology and healthcare, making a significant impact on early detection methods and patient outcomes.

Qualifications

• B.Sc. in Computer Science or related; M.Sc. preferred.
• At least one year of data management experience in healthcare.

Responsibilities

• Designing and maintaining data pipelines for lung cancer studies.
• Handling advanced data processing and conducting statistical analyses.

Skills

Python

R

Database Management (SQL)

Data Processing

Statistical Analysis

Machine Learning

Communication Skills

Problem Solving

Education

B.Sc. in Computer Science

M.Sc. in Data Science

Tools

DICOM

Job description

Intermediate Data Management Specialist, Oncology

Join to apply for the Intermediate Data Management Specialist, Oncology role at University of Calgary.

**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, with the possibility of extension, depending on grant funding.

The position focuses on developing and implementing reproducible coding pipelines to automate cleaning and processing of data related to lung cancer studies, including the implementation and optimization of lung cancer screening in Alberta and the development of early detection methods.

Reporting to the Principal Investigator, key responsibilities include:

1. Designing, building, and maintaining data pipelines
2. Coding for existing and new data pipelines daily
3. Reporting progress to supervisors and team
4. Documenting and communicating processes using various tools
5. Handling advanced data processing and management tasks with independent judgment, attention to detail, and problem-solving skills
6. Additional data tasks such as developing data management pipelines, assisting with grant writing, managing data tools, manipulating large datasets, conducting statistical analyses, implementing machine learning methods, conducting data quality checks, and preparing scientific reports

**Qualifications / Requirements:**

• B.Sc. in Computer Science, Data Science, or related; M.Sc. preferred
• Programming experience (e.g., Python, R)
• Experience with tabular and non-tabular data formats
• Interest or experience with medical imaging data formats (e.g., DICOM)
• Database management skills (e.g., SQL)
• At least one year of data management experience in a healthcare setting
• Excellent communication skills in English
• Ability to collaborate in an interdisciplinary team
• Knowledge of epidemiology, biostatistics, or clinical studies is an asset
• Interest in developing data science skills is an asset

**Application Deadline:** May 15, 2025.

We thank all applicants; only those selected for further steps will be contacted. This position is part of the AUPE bargaining unit, under the Technical Job Family, Phase 2.

For more opportunities, visit the Management and Staff Careers website.

About UCalgary: Canada's entrepreneurial university, founded in 1966, with 36,000 students, known for research, innovation, and start-ups. Visit ucalgary.ca.

The university is committed to Indigenous inclusion and diversity, encouraging applications from all qualified candidates, especially from underrepresented groups, and offers accommodations during the recruitment process.

**Additional info:** Entry level, full-time, in the field of Information Technology within Higher Education.