Bioinformatician at MRC London Institute of Medical Sciences

MRCThe London Institute of Medical Sciences (LMS) at Hammersmith Hospital is the third directly funded MRC research institute and enjoys close links with its partners at Imperial College and at the Imperial College Healthcare NHS Trust. The LMS research focuses on strengthening the basic science underpinning our understanding of human diseases and the translation of such high-quality research into a clinical setting.

 

We are seeking a skilled and highly motivated data analyst with experience of genomics data analysis to work within the LMS's Bioinformatics team. An in-depth knowledge of biology and bioinformatics is required. Previous Experience in ChIP-seq, RNA-seq, and single cell data analysis, using/writing R/Bioconductor packages, bioinformatics programming (Python, Perl, Java, C++), High-Performance Computing (HPC) environment, and web programming would be highly desirable.

 

The role provides a unique opportunity to work both with leading-edge experimental and bioinformatics techniques across the diversity of research topics within the LMS and in establishing the bioinformatics infrastructure necessary to maintain high-quality computational
genomics research within the institute. 

 

  • Location: London
  • Salary: £35,340 - £38,181 pa inclusive
  • Contract Type: Fixed Term, Full Time
  • Job Type: Technical & Scientific Professionals
  • Contract Length: 3 Years with the possibility of extension

 

The MRC London Institute of Medical Sciences is a research institute within UK Research and Innovation. UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, more information can be found at www.ukri.org.

For full details of this post and to complete an online application, visit THIS PAGE and upload your CV, names and contacts of two scientific references along with a brief cover letter describing research interests and motivation for the position.

Please quote reference number LMS - 1020

Deadline