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Research Associate in Computational Biology / Bioinformatics

Closing date: 
Sunday, 10 September 2023

Wellcome Trust/Cancer Research UK Gurdon Institute

We are seeking a talented and motivated Research Associate in Computational Biology/Bioinformatics to investigate genomic regulatory mechanisms that underlie cellular state and decision making through application of single cell multiomics, transcriptomic, epigenomic, and chromatin interaction analyses.

You will join the Ahringer laboratory at the Gurdon Institute in the University of Cambridge. Our research programmes use the C. elegans model in which we apply powerful lineage resolved assays to decipher how eukaryotic gene expression is regulated across developmental trajectories (http://www.ahringer.group.gurdon.cam.ac.uk/).

You will investigate genomic regulatory mechanisms in close collaboration with experimental colleagues, using existing cutting-edge software or devising new methods to analyse a diverse range of genomic and transcriptomic data. You will lead computational projects and contribute to the supervision of students, providing an ideal opportunity to develop an independent scientific career.

You will ideally have a strong background in bioinformatics and statistics and prior experience in the analysis of a range of high-throughput data (e.g., ChIP-seq, transcriptomic, chromatin interaction, and single cell data). You should also have a PhD in a relevant subject, a sound understanding of molecular biology, and a strong publication track record in bioinformatics. You will be expected to be able to work independently and interact well in a dynamic multidisciplinary team environment and be able to communicate ideas and results clearly.

https://www.jobs.cam.ac.uk/job/42326/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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