Dry Lab General Member

About QGEM:

The Queen’s Genetically Engineered Machine (QGEM) Team is the Queen’s University chapter of International Genetic Engineered Machine (iGEM). QGEM is an undergraduate research and design team that uses innovations in the fast-evolving field of synthetic biology to tackle current real-world problems related to medicine, industry, the environment, sustainability, and more. We are also part of the collective Ontario Genetic Engineered Machine (oGEM), with whom we collaborate with to share ideas, lab protocols, and funding plans.

As the Dry Lab General Member, you will participate in the in silico experiments, website design, and computational software required to drive the success of QGEM’s 2025 project. It is your responsibility throughout the summer to work as a team to collaborate with team members from both within the dry lab as well as other subteams to generate statistical data that serves as proof of concept of the science. Both artistically and functionally, it is the dry lab’s role to construct and continuously update the website. Dry lab members get invaluable research experience which will help propel them through a career in science.

Key Responsibilities

  • Develop the team website
  • Perform in silico experiments delegated by the team lead
  • Collaborate within and outside of your sub-team
  • Compile statistical data and keep it organized
  • Make conclusions based on statistical data

Qualifications

  • Background in statistics, computer science, bioinformatics, and related fields.
  • Organizational and detail oriented
  • Problem-solving and collaborative skills
  • Available during the summer (in person is preferred but hybrid is possible)

If you require an accommodation during the interview process, please contact engsoc human resources at hr@ engsoc.queensu.ca with details. This will be anonymous.

Contact the Director Sofia Leuchter qgem@ engsoc.queensu.ca if you have any questions about the position. Applications are due March 3rd 2025 and interviews are expected to be conducted the first week of March online via zoom.