Job Description

Staff - Union

Job Category

CUPE 116

Job Profile

CUPE 116 Salaried - Research Assistant /Technician 3

Job Title

Research Assistant/ Technician 3

Department

Research | Conklin Lab | Faculty of Pharmaceutical Sciences

Compensation Range

$4,757.00 - $5,187.00 CAD Monthly

Posting End Date

June 3, 2026

Note:Applications will be accepted until 11:59 PM on the Posting End Date.

Job End Date

June 14, 2027

This is a term-position with possibility of extension.

The salary for this role is expected to begin at Grade 6, Step 1 of the salary scale.

At UBC, we believe that attracting and sustaining a diverse workforce is key to the successful pursuit of excellence in research, innovation, and learning for all faculty, staff and students. Our commitment to employment equity helps achieve inclusion and fairness, brings rich diversity to UBC as a workplace, and creates the necessary conditions for a rewarding career.

The Conklin Lab conducts population-based epidemiologic studies with a focus on cardiovascular risk factors, gender and social determinants. The Research Assistant/Tech 3 will support data-driven research involving systematic literature reviews and meta-analysis. The role involves coordinating data extraction and cleaning, conducting meta-analysis, supporting manuscript and report preparation. Ideal candidates will have a background in epidemiology and/or public health.

Organizational Status
The incumbent will report directly to the Principal Investigator, Dr. Annalijn Conklin, and will work with other collaborators affiliated with the Conklin Lab.

Work Performed

• Perform systematic literature review and meta-analysis, including extracting data from included studies and preparing datasets for meta-analysis

• Conduct meta-analysis utilizing complex statistical techniques, including subgroup and sensitivity tests relevant to social determinants of CVD risk factors.

• Prepare results for manuscript preparation and reports. Presents research findings to the PI and other lab members.

• Provide training and/or guidance to new lab members (e.g., students, volunteers) on routine procedures and the use of lab tools.

• Assist with data management activities (including, but not limited to: data cleaning, coding variables, and preparing documentation) or with descriptive and inferential data analysis under supervision (e.g., using R, SAS, or STATA) as needed.

• Perform other duties to support ongoing research projects and the Lab including participation and assistance in project team meeting and general administration as needed

Consequence of Error/Judgement
All work will be reviewed by the Principal Investigator. Errors in data handling, analysis, or reporting could negatively impact research quality and outputs. Strong attention to detail, confidentiality, and adherence to research ethics are essential.
While the work may of a complex nature, tasks are assigned by Dr. Conklin in close coordination with other researchers affiliated with the lab, and the incumbent plans and schedules his/her work.

Supervision Received
Works under general supervision; receives detailed instructions on the assignment of new duties and thereafter only on a new or unusual problem.

Supervision Given
This position does not include formal supervisory responsibilities. However, the Research Assistant/Tech 3 may provide informal guidance to new lab members (e.g., students or volunteers) on routine procedures or tools as they become more experienced. All necessary training and mentorship will be provided to support the successful completion of tasks.

Minimum Qualifications
Completion of a relevant technical program or a university degree in a relevant discipline and a minimum three years of related experience or an equivalent combination of education and experience.

- Willingness to respect diverse perspectives, including perspectives in conflict with one’s own

- Demonstrates a commitment to enhancing one’s own awareness, knowledge, and skills related to equity, diversity, and inclusion

Preferred Qualifications

• Advanced degree in epidemiology, public health, health sciences, statistics, or a related field.
• Coursework or experience with evidence synthesis, epidemiologic methods, quantitative research, or health data analytics.
• Proficiency in Microsoft Office and experience with statistical software (R, STATA, SAS, or Python).
• Experience with systematic reviews and meta-analysis methodology.
• Strong organizational, communication, and time management skills.
• Ability to work independently and collaboratively in a research setting

Skills

• Ability to use MS Word, Excel, and PowerPoint effectively.
• Ability to work both independently and within a team environment, exercising sound judgment and decision-making.
• Attentive to detail, with the ability to work quickly and accurately.
• Ability to adapt to changing priorities, multitasking and meeting deadlines.
• Ability to exercise tact and discretion when handling sensitive and/or confidential matters.
• Effective oral and written communication, organizational, time management, and interpersonal skills.
• Ability to contribute positively to the workplace environment and demonstrate good professionalism including strong work ethic, accountability, and emotional intelligence.