Research Assistant/Technician 2

Staff - Non Union

Job Category
Non Union Technicians and Research Assistants

Job Profile
Non Union Salaried - Research Assistant /Technician 2

Job Title
Research Assistant/Technician 2

Department
Yachie Laboratory | School of Biomedical Engineering | Faculty of Medicine

Compensation Range
$4,207.63 - $5,005.45 CAD Monthly

Posting End Date
April 4, 2024

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

Job End Date

Mar 31, 2025

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

The School of Biomedical Engineering is a partnership between the Faculties of Medicine and Applied Science. The School is a nucleus for education and training, research, and innovation in biomedical engineering; creating new knowledge, new academic and training programs, and fostering translation and innovation. The School is currently responsible for 350+ undergraduate students, 140+ graduate students and 30+ faculty. Over time, the School will be responsible for as many as 400+ undergraduate students, 200+ graduate students and 40+ faculty.

The Research Assistant/Technician 2 position in the Yachie Laboratory (https://yachie-lab.org/ ) will be assisting the construction of a virtual human lung cell in the School of Biomedical Engineering (SBME) at the University of British Columbia (UBC) in Vancouver, BC, Canada.

The Yachie Laboratory at the UBC SBME has been developing synthetic biology and cell engineering technologies to understand dynamic behaviors of cells in mammalian body systems. Leveraging new types of datasets obtained from these approaches and single-cell genomics measurement, we envision the establishment of a universal cell agent-based model. Our first target will be the establishment of a human lung cell model that interprets lung cell differentiation and diverse lung disorders. We are seeking a Research Assistant/Technician 2 who assists with single-cell genomics data analyses.

ORGANIZATIONAL STATUS

The Research Technician reports to Dr. Yachie and works collaboratively with other members of the Yachie Laboratory.

WORK PERFORMED

• Assists in collecting single-cell genomics data and perform pre-data processing.
• Assists in the computational reconstruction of gene regulatory networks from single-cell genomics data by developing software plugin modules.
• Carries out any other related duties as required
• The work will be performed in the Yachie laboratory at the Biomedical Research Centre, and remote work will not be permitted.

CONSEQUENCE OF ERROR

Work is expected to be at a high level of accuracy with excellent attention to detail. Errors in judgment could affect and delay the operations of the School, individual faculty members, students, and other stakeholders and overall impact their reputation. This position requires a daily exercise of a considerable amount of judgment, responsibility, and initiative in determining work procedures and methods and coordinating the work of the unit.

SUPERVISION RECEIVED

Works under Dr. Yachie and members of the Yachie Laboratory, receiving specific instructions on a weekly basis on unusual problems or matters that depart significantly from established policy and procedure. The Research Technician is responsible for reporting work progress weekly and communicating with Dr. Yachie for the strategic research directions and any potential changes in an identified project.

SUPERVISION GIVEN

None, but may explain work sequences to others.

MINIMUM QUALIFICARTIONS

High school graduation, some additional training in a related field and a minimum two years of related experience or an equivalent combination of education and experience.

PREFERRED QUALIFICATIONS

• Well-grounded knowledge and skills in life sciences or computer science, preferred.
• Knowledge in molecular and cellular biology and genomics.
• Programming skill in Python and R.
• Ability to gather, record, and organize information.
• Ability to effectively use SPSS, word processing, spreadsheet, internet, and electronic mail applications.
• Ability to maintain accuracy and attention to detail.
• Ability to effectively manage multiple tasks and priorities.
• Ability to prioritize and work effectively under pressure to meet deadlines.
• Ability to supervise a team of research assistants.