Job summary

We seek a Research Assistant to participate in a joint project between the Departments of Epidemiology and Biostatistics and Metabolism, Digestion and Reproduction. We have ongoing research programs which are generating a wealth of diverse data from basic biology to clinical and population studies. With strong interactions across the Faculty of Medicine supporting the acceleration of fundamental discoveries into improvements in human health and patient benefit, there are significant opportunities to transform medical care.

Cross cutting studies at the interface between basic and clinical sciences allows close interaction between scientific, computing and clinical groups and a focus on multi-disciplinary research, pulling through biomedical applications from engineering and physical sciences and strategic commercial partnerships into the clinic. This creates an exciting and productive environment that is data rich and ideal for an ambitious and talented data scientist to thrive. Through integrated and innovative approaches from science to medicine our aim is to transform medical practice through application of powerful computational techniques. This post builds on this world-class environment offered by Imperial College in translational medicine as part of a multi-disciplinary team tackling complex data science problems.

Duties and responsibilities

You will be expected to have experience in applying and developing novel approaches to analyses of metabolomics data including machine learning / artificial intelligence. As part of a dynamic and evolving multi-disciplinary group, you will:

  • Personally, undertake a wide range of statistical/ML/AI analyses to analyse metabolomics data.
  • Develop, with the assistance of the PI, insight and interpretation of results.
  • Plan and analyse problems and communicate results to the group that achieve defined objectives under the leadership of the PI.
  • Develop workflows to process scientific data.

Work closely with the PI to publish results, develop grants applications and provide dissemination of new methods to the group.

Essential requirements

  • A PhD or MRes degree in an appropriate scientific area such as data analysis, bioinformatics or computer science
  • Experience of analysing metabolomics data and writing complex code for analysis
  • Strong analysis and interpretive skills to integrate, understand and describe complex datasets to provide a deeper understanding of the data
  • Excellent programming skills in C++, Matlab, Python or appropriate languages
  • A willingness to collaborate with a wide cross section of scientists and clinicians
  • Excellent communication and interpersonal skills
  • Can work independently or with minimal supervision

Further information

The post is full time and fixed term until 31 March 2023 and based between Imperial College’s new White City Campus and the South Kensington campus.

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