Postdoc-European Bioinformatics Institute (EMBL-EBI), UK (Cambridge)


Location:  Cambridge, United Kingdom

Deadline: 21/08/2016


We are seeking to recruit a Postdoctoral Fellow to join the Gerstung Group at the European Bioinformatics Institute (EMBL-EBI) located at the Welcome Genome Campus near Cambridge in the UK. The group is working on high-dimensional multistage modelling of cancer progression based on genomic and clinical data.

Systematic profiling of tumours revealed that cancer is a multifactorial disease. The availability of large volumes of high-dimensional data, such as genomics, RNA expression, proteomics and also comprehensive clinical records allow us to compile an almost complete picture of relevant clinical features for each patient. The magnitude of these data, however, presents a challenge for robustly inferring the contributing factors and also accurately predicting patient outcome. We have recently developed high-dimensional models to predict disease progression through multiple states and outcomes in myeloid malignancies (1 – 3 below). Importantly, these models allow also for quantifying the effect of interventions at different stages of treatment to underpin clinical decision support.

We are looking for a postdoctoral fellow to expand our efforts both on the methodological side by developing and implementing novel statistical algorithms, but also apply these to a range of cancer types and poly-omics data sets.   1. M. Gerstung, E. Papaemmanuil, I. Martincorena, et al. (2016). Personally tailored cancer management based on knowledge banks of genomic and clinical data. bioRxiv, //   2. E. Papaemmanuil, M. Gerstung, L. Bullinger, et al. (2016). Genomic Classification and Prognosis in Acute Myeloid Leukemia. N Engl J Med, 374:2209-21. //   3. M. Gerstung, A. Pellagatti, L. Malcovati, et al. (2015). Combining gene mutation with gene expression data improves outcome prediction in myelodysplastic syndromes. Nat Commun, 6:5901. //   The EBI is part of the European Molecular Biology Laboratory (EMBL) and it is a world-leading bioinformatics centre providing biological data to the scientific community with expertise in data storage, analysis and representation. EMBL-EBI provides freely available data from life science experiments, performs basic research in computational biology and offers an extensive user training programme, supporting researchers in academic and industry.

Qualifications and Experience

You should have a Ph.D. in a relevant field and background in statistics, mathematics, physics or computer science, combined with an interest in computational cancer biology and medicine. A familiarity with high-dimensional statistical methods would be required and the ability to implement these in different programming languages would be advantageous.


EMBL is an inclusive, equal opportunity employer offering attractive conditions and benefits appropriate to an international research organisation. The remuneration package comprises a competitive salary, a comprehensive pension scheme and health insurance, educational and other family related benefits where applicable, as well as financial support for relocation and installation.  

We have an informal culture, international working environment and excellent professional development opportunities but one of the really amazing things about us is the concentration of technical and scientific expertise – something you probably won’t find anywhere else.

If you’ve ever visited the campus you’ll have experienced first-hand our friendly, collegial and supportive atmosphere, set in the beautiful Cambridgeshire countryside. Our staff also enjoy excellent sports facilities including a gym, a free shuttle bus, an on-site nursery, cafés and restaurant and a library.

How to apply

To apply please submit a covering letter and CV, with two referees, through our online system

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