Dry Lab General MemberAbout 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<ul><li>Develop the team website</li><li>Collaborate within and outside of your sub-team </li><li>Compile statistical data and keep it organized </li><li>Make conclusions based on statistical data </li></ul>Qualifications<ul><li>Background in computer science, bioinformatics, coding, and related fields. </li><li>Organizational and detail oriented</li><li>Problem-solving and collaborative skills</li><li>Available August - November </li></ul>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 August 31st 2025 and interviews are expected to be conducted the first week of September online via zoom.

Queen&rsquo;s University has a long history of scholarship, discovery, and innovation that shapes our collective knowledge and helps address some of the world&rsquo;s most pressing challenges. Home to more than 25,000 students, Queen&rsquo;s offers a comprehensive research-intensive environment. Diverse perspectives and a wealth of experience enrich our students and faculty while a core part of our mission is to engage in international learning and research. Queen&rsquo;s University is ranked in the top 10 globally in the 2022 Times Higher Education Impact Rankings. The rankings measured over 1,500 post-secondary institutions on their work to advance the United Nations&rsquo; Sustainable Development Goals (SDGs).

QGEM Dry Lab General Member

Dry Lab General MemberAbout 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.&nbsp;Key Responsibilities<ul><li>Develop the team website</li><li>Collaborate within and outside of your sub-team&nbsp;</li><li>Compile statistical data and keep it organized&nbsp;</li><li>Make conclusions based on statistical data&nbsp;</li></ul>Qualifications<ul><li>Background in computer science, bioinformatics, coding,&nbsp;and related fields.&nbsp;</li><li>Organizational and detail oriented</li><li>Problem-solving and collaborative skills</li><li>Available August - November&nbsp;</li></ul>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.&nbsp;&nbsp;Contact the Director Sofia Leuchter qgem@ engsoc.queensu.ca if you have any questions about the position. Applications are due August 31st 2025 and interviews are expected to be conducted the first week of September online via zoom.&nbsp;

QGEM Dry Lab General Member

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