Research Associate in Data Science

Imperial College London Department of Surgery and Cancer

Job summary

We are looking for a Research Associate to join Prof Valeri’s newly established laboratory at Imperial College London (Hammersmith Campus). The team aims to discover novel biomarkers of response and resistance to anti-cancer drugs and to identify novel therapeutics with a specific focus on gastrointestinal cancers. Prof Valeri’s laboratory has an established track-record in using tissue and liquid biopsies to define molecular mechanisms...

Job listing information

  • Reference MED02317
  • Date posted 11 March 2021
  • Closing date 11 April 2021

Key information about the role

  • Location Hammersmith Campus (map)
  • Position type Full time, fixed term
  • Salary £40,858 – £48,340 plus benefits
  • Department Department of Surgery & Cancer
  • Category Researcher / Non Clinical Researcher

Job description

Job summary

We are looking for a Research Associate to join Prof Valeri’s newly established laboratory at Imperial College London (Hammersmith Campus). The team aims to discover novel biomarkers of response and resistance to anti-cancer drugs and to identify novel therapeutics with a specific focus on gastrointestinal cancers.

Prof Valeri’s laboratory has an established track-record in using tissue and liquid biopsies to define molecular mechanisms and dynamics that govern primary and acquired resistance to anti-cancer drugs. Furthermore, Prof Valeri’s team has coordinated the first prospective observational study testing the ability of Patient-Derived Organoids from metastatic cancer patients to model treatment response.

You should have an interest in developing, optimizing and maintaining computational pipelines for the investigation of cancer biology and evolution or regulation of transcriptional processes, along with a strong will to work in a multi-disciplinary team, including molecular and cell biologists, clinicians and computational biologists. Previous experience in the field of genomics is desirable.

Duties and responsibilities

Key responsibilities include the following:

  • Lineage-tracing using genetic barcoding coupled to single-cell transcriptomics
  • Integration of genomic and transcriptomic datasets (both bulk and single cell) to investigate the dynamics of selection and adaptation of tumour cells upon pharmacological treatment
  • Application of machine learning approaches to dissect the contribution of non-coding DNA to tumorigenesis and cancer progression to more advanced stages
  • Development of novel tools and their application to unpublished as well as publicly available datasets
  • Development of analytical pipelines.

Please see the Job Description for a full list of duties and responsibilities for this role.

Essential requirements

You should have a PhD in Computational Biology / Computer Sciences or a closely related discipline, or equivalent research, industrial or commercial experience. Your knowledge of Genomics Data Analysis, backed by practical experience within a research environment, is essential to this role.

You should have knowledge of research methods and statistical procedures and be able to provide evidence of being able to work independently and as part of a team.

Further information

The posts are initially offered on a full time and fixed term basis for 3 years. Our lab is located in the bustling White City area, where Imperial College London is rapidly expanding. You will get access to Imperial College Benefits including the only Post-Doctoral training centre in the nation.

Candidates who have not yet been officially awarded their PhD will be appointed as a Research Assistant within the salary range £36,045 - £39,183 per annum.

If interested, please contact either Luca Magnani (l.magnani@imperial.ac.uk) or Iros Barozzi (i.barozzi@imperial.ac.uk).

Should you require any further details on the role please contact: n.valeri@imperial.ac.uk