Research Associate in Bioinformatics

University College London - Institute of Child Health, Department of Genetics & Genomic Medicine

Applications are invited for a Research Associate within GOSgene at the UCL Great Ormond Street Institute of Child Health.

The post-holder will be a key member of the data analysis team involved with the processing, analysis and integration of distinct next generation sequencing and multiple ‘omics data and clinical phenotype information.

The main aim of the programme is to identify the underlying pathogenic causes of rare diseases as well as clinical diagnostic markers of treatment outcome or disease severity/complication. The post offers a unique opportunity to develop innovative computational and statistical methods to fully exploit large scale patient orientated biological datasets. This is an exciting opportunity for a committed and highly motivated individual to become part of a multidisciplinary research initiative aiming to combine genomic and molecular phenotype information to provide a better understanding of the molecular basis of rare diseases.

We are particularly interested in individuals with either expertise in computational biology and the statistical analysis and interpretation of large scale biological datasets, or alternatively in the development of computational methods and tools for processing multi omics data and implementing them in a scientific context.

The position is funded for 3 years in the first instance by the NIHR Biomedical Research Centre at Great Ormond Street Hospital for Children NHS Trust and University College London.

Applicants will ideally hold a PhD in computer science, statistics, mathematics, physics and/or engineering, or in a biological science with demonstrated experience in computational and statistical work. Proficiency with at least one high-level programming language and/or appropriate scripting languages and statistical data analysis tools is required.

A background in human biology or previous experience tackling biological questions in relation to human disease is beneficial but not essential.

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

If you have any queries regarding the vacancy or the application process, please contact Anne Skinner at quoting job vacancy 1667333

Latest time for the submission of applications: 23:59.

Interview Date: TBC

UCL Taking Action for Equality

Share this job
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role: