14M Genomics are using next-generation DNA sequencing technologies and intensive computational pipelines to accurately interpret the associations between cancer genetics and clinical outcomes. These services will be available to physicians involved in the diagnosis and treatment of cancer patients, the pharmaceutical industry and academic institutes.

We are seeking a bioinformatician with deep knowledge of statistical methodologies to develop novel approaches to the analysis of complex datasets. Specific roles will include the development of novel predictive algorithms for mining databases consisting of matched genetic and clinical outcome information from large sample sizes. Ultimately, these predictive algorithms will underpin clinical decision support tools to be used in informing treatment decisions for patients with cancer. This post will involve working closely with a team including software development and other bioinformatics specialists.

 

You will have or be close to completing a PhD, or you will have a similar level of industry experience. You will have good communication skills and enjoying working in a team environment.

 

Specific desirable skills

Background in statistical approaches, particularly survival or Bayesian techniques

Deep mathematical and algorithmic understanding

Experience of supervised classification of categorical and continuous data

Knowledge of multivariate, Bayesian and machine learning approaches

 

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