Postdoctoral Fellow - Precision Medicine

Wellcome Trust Sanger Institute - Computer Science

Fixed term for 3 years.

We are looking for an enthusiastic and skilled Postdoctoral Fellow in Precision Medicine to join the Soranzo team at the Wellcome Trust Sanger Institute (http://www.sanger.ac.uk/research/faculty/nsoranzo/). The post will suit ambitious an and talented individual who is interested in applying their skills to dissect the genetic basis of human disease.

As part of a Sanger-led initiative in Precision Medicine, we are performing whole-genome sequencing thousands of individuals from the INTERVAL Study, an extensively phenotyped UK-wide Bioresource (see http://www.intervalstudy.org.uk for further information). The large-scale application of genome-sequencing to large cohorts of tens to hundreds of thousands of individuals pose a problem of scale and unique analytical challenges. First, the deep phenotyping already available in these cohorts, with thousands of phenotypes measured in a single individual, will require the implementation of scalable analysis tools or robust multivariate analysis methods that can deal with the breadth and depth of these datasets. Second, genome sequencing will bring along challenges in the discovery, interpretation and downstream assessment of rare and private variants, which need to be tackled in order to fulfill the potential of sequencing data in personalized medicine.

The successful candidate will be primarily responsible for deploying state-of-the art genetic analysis to whole-genome sequencing datasets in a UK population-based cohort. The main aim of this analysis will be the discovery and in-depth characterisation of novel associations with cardiometabolic phenotypes, including high-dimensional haematology and metabolomic measurements and risk factors for cardiometabolic disease. Analyses will focus on both rare sequence genetic variation, and other types of variation such as telomere length polymorphisms and different classes of copy number and structural variants.

Essential Skills

  • Applicants should have a PhD in a highly numerate subject (e.g. natural sciences, mathematics, statistics or computer science) or have a degree in another subject coupled with extensive experience working with quantitative data.
  • Firm grasp of univariate statistical analysis fundamentals necessary. Experience with multivariate statistics or statistical modelling a plus.
  • Firm grounding in statistical methods for genome data analysis.
  • Documented experience analysing large-scale genetic datasets.
  • Documented previous expertise in complex human traits or disease.
  • Documented experience with main statistical packages for genetic data (e.g. BoltLMM, SNPtest, GCTA).
  • Ability to review, synthesise, and present scientific data and methods. Good writing and verbal communication skills.
  • Track record of delivering complex scientific projects through to publication.
  • Excellent communication, organisational and problem-solving skills.
  • Ability to work to tight timelines, both independently and as part of a team.
  • Ability to communicate efficiently with a diverse array of scientific expertise.
  • Enthusiasm, commitment and attention to detail.
  • Ability to independently develop, assimilate and deploy a research theme.
  • Experience in working with the statistical programming language R.

Other information

Please include a covering letter and CV with your application.

Closing date for applications: 24th August 2017, however applications will be considered and reviewed on an on-going basis and therefore the post may be filled before the deadline.