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Research Assistant

The University of Edinburgh - College of Medicine & Veterinary Medicine - Cancer research Centre

Location: Edinburgh
Salary: £33,882 to £39,105 per annum (Grade 6)
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th February 2025
Closes: 12th March 2025
Job Ref: 12089

Full-time: 35 hours a week.

Duration: 3-year term in the first instance, with the possibility of a 2-year extension.

The Opportunity:

The Cancer Research UK Brain Tumour Centre of Excellence (BT-CoE) presents an exciting opportunity to support and enhance our diverse research approaches to tacking brain tumours. Alongside academic staff and students across the BT-CoE, the sucessful applicant will contribute to smooth operation of projects studying new therapies and mechanisms of treatment resistance in brain tumours. Specifically, you will contribute to the development and maintenance of essential brain tumour tissue culture models, support a diverse range of projects using a suite of fundamental laboratory techniques (please see job description for details), and undertake organisation and record keeping activities in BT-CoE associated labs.

The post is located on-campus at the Institute of Genetics and Cancer (IGC) at the University of Edinburgh. The IGC plays host to over 600 scientists, students and technical staff and houses a diverse array of cutting-edge technologies. The research environment at the IGC places at its core an ethos of collaboration and mentorship, offering ample opportunity for training and personal development.

Please direct informal inquiries to Dr Alex Loftus (a.loftus@ed.ac.uk) who will be happy to discuss the post further.

Your skills and attributes for success:

  • Motivation to apply molecular biology techniques to a diverse range of projects and scientific questions in the field of cancer research.
  • Experience and proficiency in cell culture.
  • Ability to independently develop, perform and optimise laboratory techniques.
  • High standards for attention to detail, record-keeping and reproducibility.
  • Quantitative skills and working knowledge of common scientific software are desirable.
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