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Data Scientist Research Associate Jobs in Saskatchewan

Contribute to internal research and development initiatives focused on advancing geoscience ... Experience with cloud computing, scalable data processing, or software development practices.

Driven by our commitment to research and sustainable healthcare solutions, we foster an inclusive ... As the AI/ML Compliance Lead you will work with the business, data scientists, and IT to design ...

The Research Ethics Associate is a highly qualified person responsible for protecting the SHA, its ... One (1) year experience performing research Education * Master of Health Science (MHSc) Licenses

The Research Ethics Associate is a highly qualified person responsible for protecting the SHA, its ... One (1) year experience performing research Education * Master of Health Science (MHSc) Licenses

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Data Scientist Research Associate information

What is a data scientist research associate?

A Data Scientist Research Associate is a professional who applies statistical analysis, machine learning, and data management techniques to conduct research and extract insights from complex datasets. They often work in academic, government, or industry research settings, supporting projects by designing experiments, analyzing large volumes of data, and interpreting results. Their work helps inform decision-making, advance scientific knowledge, and develop new data-driven solutions. Typically, they collaborate with multidisciplinary teams and may contribute to publishing research findings.

What are the key skills and qualifications needed to thrive as a data scientist research associate?

To thrive as a Data Scientist Research Associate, you need a solid background in statistics, machine learning, and data analysis, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of platforms like SQL and TensorFlow are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are crucial for generating actionable insights from data and advancing research objectives.

What are some typical challenges faced by data scientist research associates when working on interdisciplinary projects?

Data Scientist Research Associates often collaborate with experts from fields such as engineering, biology, or social sciences. A common challenge is bridging the communication gap between disciplines, as each may have its own jargon and methodologies. Additionally, integrating and preprocessing diverse datasets can be complex due to varying data formats and quality. Overcoming these challenges requires strong communication skills, adaptability, and a willingness to learn about domain-specific concepts to ensure productive teamwork and successful project outcomes.

What are popular job titles related to Data Scientist Research Associate jobs in Saskatchewan?

For Data Scientist Research Associate jobs in Saskatchewan, the most frequently searched job titles are:

What job categories do people searching Data Scientist Research Associate jobs in Saskatchewan look for?

The top searched job categories for Data Scientist Research Associate jobs in Saskatchewan are:

What cities in Saskatchewan are hiring for Data Scientist Research Associate jobs?

Cities in Saskatchewan with the most Data Scientist Research Associate job openings:

Infographic showing various Data Scientist Research Associate job openings in Saskatchewan as of August 2026, with employment types broken down into 69% Full Time, 11% Part Time, and 20% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Research Scientist, Saskatchewan Centre for Patient-Oriented Research

Saskatoon, SK • On-site

Full-time

Posted 14 days ago


Job description

Summary:
The Saskatchewan Centre for Patient-Oriented Research (SCPOR) vision is working together for a healthier Saskatchewan through patient-oriented research (POR).  POR brings patients and those around them (family, friends, and community) together as partners in research, along with health professionals, administrators and researchers.  SCPOR is a group of partners that includes patients, academic institutions, government agencies and health organizations.  Together, SCPOR will work on the Learning Health System (LHS), with the goal of improving the health and wellbeing of patients and families and ensuring healthcare services are helping people.  Patient Partners bring their knowledge and lived experiences to this research.  SCPOR's most significant impact will be to support the health system in its approaches to collecting and learning from health-related information to achieve system improvement. 

Funded by the Saskatchewan Centre for Patient-Oriented Research (SCPOR) and Health Data Research Network (HDRN) Canada, the Health Research Data Platform-Saskatchewan (HRDP-SK) is the first platform in Saskatchewan to integrate health data from multiple agencies. The platform provides researchers timely access to health data and supports them to conduct research which informs health and health care.


Position Purpose
:
Under the supervision and direction of the HRDP-SK Director, the successful incumbent will oversee daily tasks performed by the HRDP-SK teams as well as provide mentorship/coaching to employees, researchers and students/trainees.


Nature of Work:
This position contributes to the creation and oversight of services that support researchers and data analysts to access data via HRDP-SK. The position is expected to mentor staff and will need to be aware of the resources of the unit to make recommendations to the Director for assignment of resources and skills needed to ensure success of current projects.

The position may be asked to lead research projects, including large, complex research projects, to achieve objectives in accordance with the organization's strategic and operational objectives as determined and delegated by SCPOR/ HRDP-SK's leadership team. The incumbent will not have the opportunity to drive their own research agenda or conduct independent research but may work on research projects in alignment with HRDP-SK priorities.

This position exercises collaborative decision-making: establishes and maintains the level of professional relationships that support exceptional collaboration and problem solving; and builds working relationships with various stakeholders within and external to the university.


Accountabilities:

  • Provide advanced level coaching to HRDP-SK researchers and users as they lead the conception, design, conduct and reporting of research projects
  • Participate in HRDP-SK data access request and approvals process.
  • Develop content and training programming to support the learning and development of HRDP-SK staff and users.
  • Collaborate with HRDP-SK partners to advance capacity of data users in Saskatchewan.
  • Collaborate with HRDP-SK and HDRN colleagues to advance improvements to data dictionaries, concept dictionaries and phenotype libraries.
  • Supports the use of the HDRN Algorithms and Harmonization Inventory and similar tools.
  • Participate in HRDP-SK Data Quality & Standardization committee thereby advancing continuous improvement in data quality, validity, completeness and accuracy.
  • Provide researchers and other relevant staff or student/trainees with structured and unstructured coaching, mentorship, and training to improve research skills and abilities that strengthen research done using HRDP-SK.
  • Monitor the health research environment for best practices in data-driven research and identify gaps to inform learning and development requirements for HRDP-SK users and staff
  • Develop and maintain effective external relationships with relevant researchers, as well as with research-related working groups and committees, to strengthen HRDP-SK's research partnerships that support organizational strategic and operational objectives.
  • Develop and maintain a current and expert knowledge of data access centers in Canadian and international research environments/ Utilize this knowledge to drive advancement and growth of the HRDP-SK in alignment with national and international best practices. Participate in the development of funding proposals to secure sustainable funding for HRDP-SK.
  • Develop and improve HRDP-SK processes to ensure data access is conducted appropriately, efficiently, and effectively.


Standards: Technical/Professional:

  • Consistently applies advanced proficiency in mixed methods study design (e.g., quantitative, qualitative) to develop and implement projects aligned with organizational research priorities.
  • Demonstrates basic proficiency with SAS programming, R, or other similar data analysis software to support coaching to HRDP-SK users
  • HRDP-SK Data Access Requests and coaching are consistently completed on target and within the parameters set by the Director.
  • Able to navigate change and develop contingencies when roadblocks arise.
  • Ensures research methods and plans are documented in project charter and research process is implemented effectively in HRDP-SK prior to trustee approval.
  • Regular structured and unstructured coaching, mentoring, and training occurs HRDP-SK staff and users.
  • Takes necessary actions to ensure organizational policies as well as contractual and legislated obligations are met within areas of responsibility (e.g., Personnel policies, privacy legislation, data sharing agreements)
  • Diplomacy
  • Exercises considerable care to uphold security of sensitive information


Qualifications

Education: A PhD in the health or social sciences, or another relevant discipline with 3 years of applied data-driven research experience in Saskatchewan with specific experience in administrative (health or other public sector) and/or clinical databases.

Or

A Master's degree in health or social sciences, or another relevant discipline


Experience: 5 years of applied data-driven research experience in Saskatchewan, with specific experience in administrative (health or other public sector) and/or clinical databases.


Skills
:

  • Demonstrated strong scholarly writing skills and excellent communications skills;
  • Demonstrated ability to coach, mentor and train;
  • Proven interpersonal skills coupled with the ability to work both within a team and independently;
  • Strong organizational and leadership skills;
  • Effective time management skills;
  • Consistent resourcefulness and self-direction; ability to work independently and prioritize work effectively in accordance with the goals and objectives of HRDP-SK;
  • flexibility to respond to fluctuating workload demands while maintaining productivity and quality;
  • Ability to maintain composure and focus when working to deadlines.
  • Must provide and maintain a satisfactory criminal record check.

Applications will be reviewed as they are received.