Bioinformatics Scientist in Cambridge

Bioinformatics Scientist in Cambridge

Cambridge Full-Time No home office possible
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Enhanced Genomics is a functional genomics spinout company from the Babraham Institute (Cambridge, UK) leveraginga disruptive technology to profile three-dimensional (3D) genome folding at high resolution.

EnhancedGenomics is an innovative and dynamic company with diverse and highly engaged staff. We believe in fostering great teamwork to maximise our collective skills and experience. We are passionate about realising the power of 3D genomics by developing newcutting-edgetechnologies for therapeutic discoveries.

Summary

As a Bioinformatics Scientist you will partner with Biologists and Engineersto design, execute, and interpret computational analyses that accelerate drug discovery programs.You’lldeliver rigorous, reproducible analyses of NGS and other biological datasets, translate results into biological and project-relevant conclusions, and help teams make better experimental and program decisions.

Key Responsibilities

  • Processing, analysing, and interpreting NGS data.
  • Selectingappropriate statisticalapproaches; articulatingassumptions/limitations; interpretingresults in biological and experimental context.
  • Contributingcode in Python and/or R for statistical analysis and visualisation of complex and large datasets.
  • Working closely with biologists and other bioinformaticians to design, develop and support target identification and target validation plans.

Required Qualifications and Skills

  • PhD in computational biology or a related area, orBSc/MSc with equivalent industry experience.
  • Experience supporting discovery-stage research in anacademic drug discovery centre or industrial biotech/pharma setting(e.g., target identification/validation, biomarker work, translational genomics, or similar).
  • Experience with Next Generation Sequencingplatforms and/or“multi-omics” datasets.
  • Familiarity with common bioinformatic databases and tools including major public genetic and genomic data repositories.
  • Programming and statistical data analysis andvisualisation experience in R or Python, with an understanding of standard supporting tools (NextFlow, Git, etc.).
  • Experience with and understanding ofchromatin conformation assays (Hi-C,capture Hi-C,HiChIP, etc.).

We will only be considering applicants that have the right to work in the UK.

Department for Science, Innovation & Technology

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Contact Detail:

Enhanced Genomics Recruiting Team

Bioinformatics Scientist in Cambridge
Enhanced Genomics
Location: Cambridge
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