Computational Postdoctoral Research Assistant

03/20/2024   United Kingdom   Barts Cancer Institute  

Job description

We are looking for a Postdoctoral Research Assistant to delve into the analysis of repetitive genome in blood cancers and undertake research investigations in collaboration with and under the supervision of Dr Özgen Deniz in order to realise the objectives and development of the research programme on "the Oncogenic and Immunogenic Roles of Transposable Elements in Cancer”. The appointed PDRA will be integrated into a multidisciplinary team and will collaborate with experimentalists and clinicians. The research will be based in the Centre for Haemato-Oncology, Barts Cancer Institute, within the Barts and The London School of Medicine and Dentistry, Queen Mary University of London.

The post is based at the Charterhouse Campus in London. It is full time (35 hours per week), fixed term appointment for 30 months. The starting salary will be Grade 4, in the range of £40,223- £44,722 per annum (pro-rata), inclusive of London Allowance.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

Informal enquiries should be addressed to Ozgen Deniz, Lecturer,


Essential requirements for this post include a PhD in a relevant biological or computational subject and background in computational analyses of human genomics data (ATAC-seq, RNA-seq, ChIP-seq). Experience in single-cell omics data and 3D chromatin analysus is desirable. A demonstrated ability to communicate well, work within a team and maintain good laboratory records are also essential. The post holder will be responsible to develop pipelines for the analysis of transposable elements and must be organised, highly self-motivated and have excellent communication and interpersonal skills. They will need to manage their time and performance, must be strongly proactive, knowledgeable, and able to solve complex problems. The post holder will be expected to prepare manuscripts using high-quality data, make oral presentations and help supervise postgraduate and graduate students

How to apply

Please follow the application link: