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Data Science Research Assistant Jobs in Alberta (NOW HIRING)

... data collection processes. The University of Alberta acknowledges that we are located on Treaty 6 ... Minimum of a Bachelor's degree in a relevant field (e.g., Kinesiology, Health Sciences, Psychology ...

As a Data Science Student , you will contribute to our team by: Responsibilities • Gain ... or research requiring the analysis of large datasets. • Coursework in statistics. Applied ...

... and organizing interview data. Other tasks could include related secondary research and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Own all stages of the data science project lifecycle, including: Develop, deploy, monitor, and ... Ability to perform independent research and synthesize current AI/ML research, with a track record ...

Staff Data Scientist

Calgary, AB · Hybrid

CA$192K - CA$230K/yr

Architect reusable, "platform-level" forecasting frameworks to be used by other Data Science teams ... Mastery of System Design and state-of-the-art time-series research. * Leadership without Authority:

Research Associate

Calgary, AB

CA$23.97 - CA$24.90/hr

... science. CIRAMM drives innovation, strengthens industry partnerships, and develops solutions to ... We are seeking a highly organized and detailoriented Research Assistant to support project managers ...

You will work alongside researchers, data scientists, and product engineers in a small, high-trust team where curiosity and ownership are the norm. What You Will Do * Design and build a scalable ...

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Data Science Research Assistant information

See Alberta salary details

$16.5K

$83.5K

$192.5K

How much do data science research assistant jobs pay per year?

As of Jul 29, 2026, the average yearly pay for data science research assistant in Alberta is $83,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $123,500.00 per year, depending on experience, location, and employer.

Is 30 too late for data science?

Data science research assistants can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated competence and ongoing development in the field.

What does a Data Science Research Assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the key skills and qualifications needed to thrive as a Data Science Research Assistant, and why are they important?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

Is AI replacing data scientists?

AI is transforming the role of data science research assistants by automating routine tasks like data cleaning and analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists and research assistants with skills in programming, statistical analysis, and machine learning remain essential for developing and deploying AI solutions effectively. AI tools serve as complements that enhance productivity rather than substitutes for skilled data professionals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science research assistant; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical experience regardless of age.

How do Data Science Research Assistants typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is a data research assistant?

A data research assistant is a professional who supports data collection, analysis, and interpretation for research projects. They often work with statistical tools and programming languages like Python or R and may assist in preparing reports or visualizations under the guidance of senior researchers.
What are popular job titles related to Data Science Research Assistant jobs in Alberta? For Data Science Research Assistant jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Data Science Research Assistant jobs in Alberta look for? The top searched job categories for Data Science Research Assistant jobs in Alberta are:
Infographic showing various Data Science Research Assistant job openings in Alberta as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $83,537 per year, or $40.2 per hour.

Research Assistant

Prime Site Research Solutions Inc

Edmonton, AB • On-site

Full-time

Medical, Dental, Retirement

Re-posted 5 hours ago


Job description

Salary:

Closing date: Hiring multiple candidates - Will remain open until suitable candidate found


Salary: Commensurate with experience


Benefits:Health/dental plan, employee & family assistance program, retirement plan, perks


Start Date: Jan/Feb 2026


Primesite Research Solutions is an Integrative Research Organization and Site Network based out of Western Canada. We conduct phase I, II, III, IV clinical trials in various clinical areas at local hospitals and clinics. We are seeking a research assistant to join our growing site network. This position requires a self-motivated, organized, and accountable individual with strong attention to detail. The applicant must have the ability to prioritize and multi-task in a complex rapidly changing environment and must be able to promote teamwork, collaboration, and problem-solving skills. In this position the research assistant will work under the supervision of the research coordinators and research manager to fulfill clinical trials related responsibilities and ensure that each study progresses efficiently. The research assistant will also be responsible for data entry and management of selected patient registries. This position requires frequent contact with physicians, other staff, study participants, biopharma companies and regulatory agencies, and has significant potential for advancement.


Key Responsibilities:


  • Adhere to multiple research protocols, confidentiality, ICH, GCP & NIH guidelines
  • Prepare REB submissions and other regulatory documents required for study initiation
  • Perform data entry for clinical trials and registries
  • Prepare for and participate in monitoring visits and conference calls
  • Develop study files in accordance with various protocols
  • Provide administrative support including filing, directing phone calls, updating tracking logs and maintaining trial regulatory documents
  • Organize and maintain project/task management system and clinical trials management system (CTMS)
  • Organize, prioritize and respond appropriately to incoming correspondence
  • Maintain optimal office systems, processes and equipment
  • Coordinate with various departments and correspond with study sponsors and regulatory agencies
  • Communicate study procedures and provide ongoing support to staff
  • Screen hospital charts for potential study participants and be able to discuss eligibility with research coordinators and physicians
  • Organize ongoing patient follow up and study visits
  • Perform study procedures (including collection of vital signs, blood, ECGs etc) as requested
  • Comfortable handling and transporting blood, marrow and other lab samples
  • Travel between hospitals for various tasks
  • Work effectively with study research coordinators and manager to ensure open communication and efficient prioritization of all assigned responsibilities


Required Skills for Success:


  • Undergraduate degree required, patient interaction and clinical trials experience are preferred (other education with clinical research experience will be considered)
  • 2-3 years of experience in working with clinical trials/research studies
  • Must be comfortable interacting directly with patients
  • Working knowledge of Microsoft Office software (Word and Excel) and Google Apps (Docs and Sheets) required
  • Tech savvy, willingness to learn and adapt to new technologies, and ability to proficiently use required technologies and applications: online software including for meetings, training, timesheets, project/task management, document management and CTMS
  • Excellent organizational, communication (oral and written), problem solving and interpersonal skills in dealing with co-workers, clinicians and study participants
  • Demonstrated ability to take initiative and work in a team environment as well as independently with minimal supervision in a fast-paced environment
  • Ability to be flexible, assist on multiple projects and successfully prioritize multiple responsibilities to meet deadlines
  • Work in a professional and ethical manner in accordance with internal policies and procedures, and GCP and ICH guidelines
  • Self-directed, proactive attitude, highly self-motivated and enthusiastic
  • Accountable with strong attention to detail and honest in the performance of all responsibilities
  • Willingness to further professional knowledge by reading journals/books, attending educational sessions, completing training programs as necessary
  • Own transportation and valid driver's license are beneficialas travel to other sites may be necessary


If you are selected for the next step in the interview process, you will be asked to submit a short one-way video application.