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Research Associate - Computational Biology / Bioinformatics (Fixed Term)

Closing date: 
Thursday, 17 September 2020

We seek a highly motivated computational researcher for a key role within Professor Sir Shankar Balasubramanian's pioneering research programme at the Cancer Research UK Cambridge Institute (CI). Our research focuses on the chemical biology of the genome and epigenome (https://www.balasubramanian.co.uk/publications). Our lab invents and applies new computational methods for the analysis of sequence, structure and chemical modifications in DNA and RNA. This position provides opportunities to develop computational tools at the interface between chemistry, biology and bioinformatics from experimental design to the analysis of novel types of data in collaboration with talented experimental scientists.

Skills required include:

  • Excellent programming/scripting skills in languages such as R or Matlab, Python or Perl, C/C++, Ruby or Java.
  • A good working knowledge of Linux/Unix, with experience in data processing in an HPC cluster environment and basic understanding of computer systems administration.
  • Algorithm development, data mining and statistical analysis of large datasets.
  • Experience in statistical modelling and mathematical tools (e.g. Bayesian statistics, Markov models, simulation models or machine learning).
  • Knowledge of biological data resources (e.g., NCBI, EMBL-EBI, KEGG, ENCODE and ELIXIR).
  • Experience collaborating with experimental scientists e.g. chemists or biologists, and managing several concurrent projects with changing priorities
  • Ability to version control and share research code (e.g. git/GitHub).

http://www.jobs.cam.ac.uk/job/26702/

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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