Bioinformatics Postdoc

Desktop Genetics
Job Location
United Kingdom
Job Description

We are seeking outstanding applicants for Postdoctoral positions 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.

  • 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.
About Our Organization

We develop technologies at the intersection of biotechnology, software and laboratory automation.

We are a team of geneticists, molecular biologists, engineers and computer scientists. Together, we've developed the DESKGEN platform, an intuitive and powerful system that supports the next generation of biological research: genome editing.

This platform helps scientists be more efficient in the lab by optimising the design, construction, management, and purchase of the DNA, reagents and services important in gene editing and molecular biology. Through our platform, we aim to enable “literal Desktop Genetics”, a process that researchers can use to design CRISPR gene editing experiments, purchase reagents and find commercial entities to execute those experiments - and obtain results - without them having their own specialist laboratories. To this end, we are partnering with several leading suppliers and third party vendors to offer research tools and custom CRISPR libraries for on-demand cell line engineering.

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