Research Associate - Cambridge, United Kingdom - University of Cambridge

Tom O´Connor

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Tom O´Connor

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Description
Fixed-term: The funds for this post are available for 2 years in the first instance.

Key functions of the role include:

  • Playing a leading role in experimental design.
  • Performing, customising and/or developing computational analyses/algorithms for raw data from sequencingbased assays (e.g. ChIPseq and RNAseq) and other data types (e.g. proteomics).
  • Preprocessing of raw datasets and highlevel analysis and visualisation to enable interpretation and deduce new biological insights.
  • Managing research collaborations with experimental scientists and developing independent projects.

Skills required include:

  • Programming/scripting skills in languages (e.g. R or Matlab, Python or Perl, C/C++, Ruby or Java).
  • Working knowledge of Linux/Unix, with experience in data processing in an HPC cluster environment and basic understanding of computer systems administration.
  • Knowledge of biological data resources (e.g., NCBI, EMBL-EBI and ELIXIR) and bioinformatic tools.
  • Algorithm development, data mining and statistical analysis of large datasets (e.g. Bayesian statistics, Markov models, simulation models or machine learning).
  • Experience collaborating with experimental chemists or biologists, and managing several concurrent projects with changing priorities.
The Department holds an Athena SWAN silver award for women in science, technology, engineering, mathematics and medicine.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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