Bioinformatics Lead Queen’s University Belfast United Kingdom

Queen’s University Belfast

Bioinformatics Lead                                                                    

Ref: 18/106371

Precision Medicine Centre

School of Medicine, Dentistry and Biomedical Sciences

The Precision Medicine Centre of Excellence (PMC) at Queen’s University Belfast 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 in the value of integrated clinical and biomarker information to improve patient’s outcome.

This post is available for five years to lead and manage the bioinformatics section of the Precision Medicine Centre of Excellence (PMC). The post holder will develop, validate and maintain analytical tools, data analysis pipelines and algorithms to analyse genomic information from cancer specimens, in the context of clinical studies and clinical trials.

The successful applicant will oversee and supervise the analysis and interpretation of vast amounts of biological, clinical and scientific data, including genomics, transcriptomics and digital pathology imaging and providing timely and accurate feedback. They will correlate biological findings with clinical outcomes and integration with other datasets such to develop new diagnostic, prognostic and predictive tools.

The post holder will perform data analysis in large cohorts of samples and will require providing statistical analysis as appropriate.

The successful candidate will contribute significantly in report, manuscript and grant preparation and writing. He/She will be responsible for providing support for generation and implementation of data analysis pipelines, data management strategies, as well as generation of clinical, genomics and imaging databases. They will be expected to integrate into a multidisciplinary environment provided on site, and to interact with key clinical and scientific stakeholders.

The successful candidate must have:

•  A PhD in Computational Biology, Bioinformatics, Biostatistics, Mathematics or related discipline.

•  Substantial relevant research or clinical experience in human/cancer genomics, leading to publications in high-impact factor journals.

•  Experience of working with Linux/UNIX environments.

•  Significant experience managing and analysing NGS data and other big data.

•  Experience of direct managing of projects and small teams.

•  Significant experience using and managing and curating internal and external databases (clinical and genomics).

•  Proficiency with perl, python, bash and/or equivalent languages.

•  Significant experience creating, querying and maintaining databases, particularly MySQL or PostgreSQL.

•  Experience with suitable analysis and plotting languages, particularly R or Matlab.

•  Publication record in a relevant field commensurate to experience.

Anticipated interview date:  Monday 21 May 2018

Salary scale: £39,992 - £49,149 per annum (potential to progress to £52,132 per annum through sustained exceptional contribution)

Closing date:  Friday 4 May 2018

For full criteria and to apply online, visit www.qub.ac.uk/jobs. For further information or assistance contact Human Resources, Queen’s University Belfast, BT7 1NN. Telephone (028) 9097 3044 or email on HR@qub.ac.uk

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.


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