Desktop Genetics
Job Location
28 Hanbury Road
E1 6QR
United Kingdom
Job Description

We are seeking outstanding applicants for a bioinformatician role to work on a collaborative project between Desktop Genetics and the Epigenetics Unit of Imperial College London. We will be producing epigenetic models of cancer cell lines using computational analysis of next generation sequencing data such as WGS, RNA-seq and ChIP-seq. We will validate these models using CRISPR/Cas9 genome editing techniques and custom in-house library design algorithms.

This position will provide an excellent opportunity to work and train as part of a highly motivated interdisciplinary team in the rapidly developing areas of CRISPR/Cas9 and cancer epigenomics. Desktop Genetics and Imperial College London, both based in London, are leaders in the fields of computational and systems biology, basic science and clinical care.

  • PhD in computational biology or a related field.
  • Proficiency in Python, postgreSQL and R.
  • An in-depth and practical knowledge of bio-statistics and the ability to work with a variety of different biological data types.
  • Have previously worked with NGS data, including RNA-seq and ChIP-seq.
  • Experience working with cancer genomics or epigenomics data from patient samples, mouse models or cancer cell lines.
  • Experience with common bioinformatics methods, tools, websites and data resources is essential, in particular high-throughput data analysis tools and techniques, genome sequence analysis, and experience retrieving, manipulating and managing data from public data repositories such as TCGA, ENCODE, NCBI and Ensembl.


We are recruiting creative and enthusiastic bioinformaticians, who are computational scientists with experience in automating biological analysis, as well as biologists or medical students with experience in performing computational analysis in data-driven research. Proficiency in programming languages such as Python, postgreSQL, and a statistical programming language such as R or MatLab. Experience with C or JavaScript would be desirable. Preference will be given to candidates who have at least 2 years experience in computational biology, including the design and implementation of algorithms applied to the analysis of biological data. 

How to Apply

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About Our Organization

Desktop Genetics is a UK-based bioinformatics software company building a CRISPR AI that enables scientists to modify any cell, in any species by designing and executing personalised CRISPR genome editing, right from their desktop. Through our proprietary DESKGEN platform, scientists can design and execute personalised CIRPSR experiments to investigate the root genetic cause of diseases, without ever stepping into the lab. 

Mission: To build a CRISPR software platform (AI) that enables scientists and doctors to design personalised genome editing therapies right from their desktop based on the actual sequence of the patient.

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