Postdoctoral Fellow - Cortes-Ciriano Group


The Cortes-Ciriano group studies the mutational processes and mechanisms of genome instability underpinning tumourigenesis, immune escape, and drug response through the analysis of high-throughput sequencing data from clinical samples. The group is also leading the development of novel approaches for early cancer detection. More information about the group can be found here.


Your role

We invite applications for a Postdoctoral Fellow position in the fields of cancer genomics and long-read sequencing data analysis. We are looking for an intrinsically motivated, talented, and hypothesis-driven individual with experience in analysing high-throughput sequencing data sets. This position is an excellent opportunity for individuals looking to gain in-depth knowledge and expertise in genomic medicine and long-read sequencing data analysis.    You will be expected to lead the development of scalable and creative computational solutions for sequencing data analysis. Specifically, your project will involve developing computational methods for analysing a unique collection of hundreds of long-read whole-genome sequencing data sets from human tumours spanning multiple cancer types, including adult and paediatric tumours.  It is essential that you are dedicated to lead your own project while also being a team player and willing to engage with our national and international collaborators.

You will enjoy substantial freedom (if desired) to design novel algorithms and to explore your own hypotheses. Your project will benefit from close interactions with our clinical and wet-lab collaborators.

Apply now

Closing date: 30 April 2023

  • Contract duration: 2 years

  • Grading: Year 1 stipend - £2,952.45 per month

  • Reference number: EBI02130


You have


  • PhD degree in the life sciences (preferably computational biology, genomics, statistics, or a similar field)

  • Strong analytical and programming skills (preferably in python and R)

  • Significant experience in computational genomics (ideally in cancer genomics) as evidenced by publication record

  • Demonstrated ability to work both independently and collaboratively with other group members and external collaborators

  • Proficient communication skills in both written and spoken English

  • Experience in Unix-based environments, high-performance computing and the development of reproducible data analysis pipelines using version control software

  • Data science skills, such as visualisation of complex data sets



You might also have


  • Background in cancer biology

  • Experience in long read sequencing data analysis is desired but not required



Procedencia EMBL

País Reino

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