Data Visualization Lab Technician

Location
Vancouver, BC
 
Full job description
Staff - Non Union
Job Category
Non Union Technicians and Research Assistants
Job Profile
Non Union Hourly - Research Assistant /Technician 3
Job Title
Data Visualization Lab Technician
Department
Research Support | Wittman Research Group | Applied Biology Program | Faculty of Land and Food Systems
Compensation Range
$28.10 - $33.14 CAD Hourly
Posting End Date
July 22, 2025
Note: Applications will be accepted until 11:59 PM on the Posting End Date.
Job End Date
Jan 31, 2026
This position is expected to be filled by promotion/reassignment and is included here to inform you of its vacancy at the University.
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.
Job Summary
This position will provide technical support to Wittman Lab Group for Data Visualization for ongoing research as well as provide assistance in lab management.

Organizational Status
Reports to the Principal Investigator (Dr. Hannah Wittman). This position will work in Dr. Wittman’s group consisting of technicians, graduate and undergraduate students at UBC's Vancouver campus.

Work Performed
Works with researchers at the Centre for Sustainable Food Systems (CSFS), the Agroecological Transitions Research Coordinator and CSFS researchers to source CSFS research datasets, including LiteFarm data, and scope out how to visualize them in interactive web and data app dashboards;
Supports the development, implementation, and evaluation of farm data visualizations for the LiteFarm research team;
Supports the improvement of CSFS research data collection, visualization and sharing tools and processes to make research data more accessible.

Consequence of Error/Judgement
Incorrect decisions would likely be costly in terms of wasted time and flawed data. Inappropriate judgment will cause missing data or biased results. Missed deadlines will delay timelines in the Professor’s research project.

Supervision Received
Reports to the Principal Investigator (Dr. Hannah Wittman).

Supervision Given
None.

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
Preference for an Undergraduate degree in Data Science or Masters of Science is preferred.
Comfortable working with CSV and MS Excel complex datasets
Experience generating interactive data visualizations (ideally in Tableau) for research and communication purposes
Comfortable using programs such as MS Word, Excel or additional survey tools for research management (Qualtrics, Google forms, etc.)
Familiarity with management of spatial data (QGIS, etc.) is an asset
Efficient organizational and communication (written and verbal) skills
Self-motivated, organized, efficient, able to multi-task and work well independently and collaboratively in a dynamic work environment and under time constraints and deadlines;
Interested and informed about diversified agriculture, food sustainability and environmental stewardship.
Familiarity with agro-ecology, biodiversity, food production data
Must use time efficiently and able to multi-task.
Must have accuracy and attention to detail.
Ability to work independently and within a team environment.