Job offer in Ireland Research Technician (Image Analyst) at Queen’s University Belfast
Queen’s University Belfast is one of the leading universities in the UK and Ireland, with a distinguished heritage and history. With over 24,000 students, 4,200 staff and an annual turnover of some £300m, Queen’s University Belfast plays a unique leadership role in Northern Ireland. As a member of the Russell Group of UK research-intensive universities, Queen’s University Belfast combines excellence in research and education with a student centred ethos.
Queen’s University has generous terms and conditions of employment underpinned by excellent benefits. We also provide attractive well-being, family friendly and other lifestyle benefits
The Centre for Cancer Research and Cell Biology (CCRCB) sits within the School of Medicine, Dentistry and Biomedical Sciences and the Precision Medicine Centre (PMC) is a new clinical laboratory bringing together high-throughput genomics, digital pathology and big data analytics in a fully integrated fashion. The PMC aims to accelerate the translation of potentially relevant diagnostic, prognostic and therapeutic findings into clinically actionable information by applying state-of-the-art technology in a clinical laboratory environment. Our partnerships and collaborations with industry, academia and healthcare organisations maximises the potential to capitalise on the value of integrated clinical and biomarker information to improve patient’s outcome.
The PMC operates within a structure of two core interconnected sections – Genomics and Tissue Hybridization & Digital Pathology, linked by a Bioinformatics team and supported by a dedicated management team. The PMC, working in partnership with the successful Northern Ireland Biobank (NIB), is integrated in an existing molecular programme honed by successful research grant funding investment of several million, infrastructure programmes and clinical trials.
The Research Technician (Image Analyst) will undertake specialist technical laboratory support within the Molecular Pathology and Digital Pathology Programme in the PMC. The successful candidate will carry out experimental and analytical molecular and tissue based hybridisation investigations and digital pathology evaluations and be responsible for the validation and standardisation of novel procedures, techniques and tests. The Research Technician (Image Analyst) will assist in training new staff members and visitors and contribute to the development and data management relating to the technical and analytical aspects of the Centre.
This post is available until 31 December 2021.
The successful candidate must have:
- Academic and/or vocational qualifications ie HND/HNC and/or NVQ level 4 in relevant subject (or equivalent).
- Proven relevant experience to include:
o Experience in Cellular Pathology Laboratory or equivalent laboratory environment.
o Experience in a CPA/UKAS environment or other relevant accredited environment.
o Experience working with cancer samples.
o Experience with IHC and FISH or other hybridisation technologies.
o Basic experience in slide scanning / Digital Pathology.
Anticipated interview date: Monday 12 August 2019
Salary scale: £27,831 – £32,236 per annum (potential to progress to £35,210 per annum through sustained exceptional contribution)
Closing date: Wednesday 24 July 2019
For full job details and essential/desirable criteria please refer to the candidate information link on our website by clicking apply. For further information or assistance contact The Resourcing Team, People and Culture, Queen’s University Belfast, BT7 1NN. Telephone (028) 9097 3044 or email on firstname.lastname@example.org
The University is committed to equality of opportunity and to selection on merit. It therefore welcomes applications from all sections of society and particularly welcomes applications from people with a disability
Fixed term contract posts are available for the stated period in the first instance but in particular circumstances may be renewed or made permanent subject to availability of funding