Postdoctoral Training Fellow Position in The Francis Crick Institute, London, UK

Designation/Position- Postdoctoral Training Fellow

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The Francis Crick Institute, Midland Road, London offers postdoctoral training fellow position on computational and statistical methods to develop computational approaches for characterizing genome-wide changes to genetically modified embryos and embryonic stem cells using next generation sequencing. 

About- The Francis Crick Institute is a biomedical discovery institute dedicated to understanding the fundamental biology underlying health and disease. Its work is helping to understand why disease develops and to translate discoveries into new ways to prevent, diagnose and treat illnesses such as cancer, heart disease, stroke, infections, and neurodegenerative diseases. An independent organisation, its founding partners are the Medical Research Council (MRC), Cancer Research UK, Wellcome, UCL (University College London), Imperial College London and King’s College London.

The Crick was formed in 2015, and in 2016 it moved into a brand new state-of-the-art building incentral London which brings together 1500 scientists and support staff working collaboratively across disciplines, making it the biggest biomedical research facility under a single roof in Europe. The Francis Crick Institute will be world-class with a strong national role. Its distinctive vision for excellence includes commitments to collaboration; to developing emerging talent and exporting it the rest of the UK; to public engagement; and to helping turn discoveries into treatments as quickly as possible to improve lives and strengthen the economy.

Research/Job area– Biology, computational and statistical methods

Project Title- Computational Biology/Bioinformatics

Location- The Francis Crick Institute, Midland Road, London



  • Training in a relevant subject area (e.g. Statistics, Computational Biology, Population
  • Genetics/Genomics and/or Computer Science)
  • Strong statistical and quantitative skills
  • Publishing record
  • Experience of a statistical language is essential (e.g. R or Matlab)
  • Experience of a scripting language (e.g. Python or Pearl)
  • Experience with large data sets is essential (e.g. UNIX/Linux and cluster computing)
  • Experience with sequence based annotation and a demonstrable ability to extract
  • meaning from homology / orthology based analysis is desirable
  • Extensive experience of communicating effectively internally at all levels and with select
  • external individuals
  • Ability to communicate ideas and results effectively and interact fluidly with
  • experimental biologists
  • Ability to work independently and organise own workload
  • Excellent communication skills required – both oral and written presentation
  • Enthusiastic, hard-working, reliable, collaborative and ambitious
  • Highly motivated, organized and analytical
  • Ability to update knowledge in the specialist area and implement relevant technologies


  • Experience with analysis of -omics data sets
  • Previous experience with analysis of early embryo and embryonic stem cell data sets would be advantageous
  • Some laboratory experience of genomics assays (e.g. MiSeq, RNA-seq, ChIP-seq, bisulfite sequencing) would be advantageous
  • All Postdoctoral Training Fellows are expected to lead on their own projects and contribute to other projects on a collaborative basis, both within the laboratory and with collaborators. The ability to work as part of a team is essential to advance the project.

Job/Position Description- Research group is seeking a highly motivated and collaborative Postdoctoral Fellow to develop computational approaches for characterizing genome-wide changes to genetically modified embryos and embryonic stem cells using next generation sequencing. The fellow would also use computational approaches to understand the logic of signalling and transcriptional control in human embryos and stem cells using single-cell combined transcriptome and DNA methylation analysis.

Our lab seeks to understand gene function and to characterise gene expression during human preimplantation development. We generate genome-wide data sets related to human embryo development and stem cell pluripotency, which require sophisticated computational analyses. The relevant projects in the lab involve characterising the activities of key signaling pathways and developmentally regulated transcription factors that are thought to be required for pluripotency regulation. The main strategies in the lab involve genomic profiling of early human embryos and microdissected cells and utilizing this data to inform novel strategies for stem cell derivation from embryos and reprogramming using induced pluripotent stem cell approaches. The post-holder will develop computational and statistical methods necessary to characterise these datasets and to extract relevant biological information. The position will be based at The Francis Crick Institute in London in Dr Kathy Niakan’s laboratory

How to Apply- Interested and eligible candidate can apply online.

Last Date for Apply– 16 April 2018

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