Research Technician II
University Health Network
Toronto, Ontario, CA
2d ago

The University Health Network,

where above all else the needs of patients come first , encompasses Toronto Rehabilitation Institute, Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre and the Michener Institute of Education at UHN.

The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education.

With a long tradition of groundbreaking firsts and a purpose of Transforming lives and communities through excellence in care, discovery and learning , the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers.

UHN is a caring, creative place where amazing people are amazing the world.

University Health Network (UHN) is a research hospital affiliated with the University of Toronto and a member of the Toronto Academic Health Science Network.

The scope of research and complexity of cases at UHN have made it a national and international source for discovery, education and patient care.

Research across UHN's five research institutes spans the full spectrum of diseases and disciplines, including cancer, cardiovascular sciences, transplantation, neural and sensory sciences, musculoskeletal health, rehabilitation sciences, and community and population health.

Find out about our purpose, values and principles here.

We are seeking a Research Technician II to join our research team at the Princess Margaret Cancer Centre focused on studying on the DNA damage responses after radiotherapy or chemotherapy and exploring how this can be exploited to improve cancer treatment.

  • The candidate will be expected to perform moderately complex laboratory procedures. The candidate will also be required to perform a host of other functions, including but not limited to : compiling, interpreting and analyzing experimental results;
  • communicating and maintaining records of experimental data, monitoring, ordering, and maintaining lab inventories of biological / chemical agents, supplies, animals and / or equipment;
  • maintaining records of safety training and other health and safety paperwork.

    Join an exciting research environment focused on translational aspects of cancer biology and treatment. The candidate will work with tissue culture and murine models and perform bioassays (western blot, RT-qPCR), gene cloning, flow cytometry, immunohistochemistry and immunofluorescence Working in a fast-paced environment, we require a biologist with strong cell biology / molecular biology experience who can multi-task and enjoy contributing to research at many levels.

    The lab is situated in the Princess Margaret Cancer Research Tower. Thus, the candidate will be part of a rich and vibrant scientific community.

    Qualifications :

  • Bachelor’s degree (MSc preferred) in biological science or related field
  • minimum of 3 years related experience
  • Experience in molecular biology, cell culture, and immunohistochemistry and / or immunofluorescence
  • Experience with handing mice and conducting animal experiments, or a willingness to learn
  • Experience in flow cytometry is desirable
  • Excellent written and verbal communication skills
  • Excellent organizational skills
  • Ability to work in a team and independently
  • Willingness and ability to learn new techniques
  • Roles and Responsibilities

  • Conduct research, and accurately record and interpret results
  • Ensure the smooth daily operation of an active research lab

    Order and expedite supplies

    Train staff and students on established procedures

    Maintain equipment

    Maintain lab inventory of supplies and reagents

    Implement new laboratory techniques and technical developments

    Utilize various software and web-based tools for research, lab organization as well as performing mathematical

    calculations for data analysis

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