Lead Data Scientist & Senior Bioinformatician

Resume posted by sjnewhouse
Desired salary: $40,000.00
Desired position type: Any
Location: England United Kingdom

Contact sjnewhouse


I studied Molecular Biology at The University of Liverpool then went on to complete a Ph.D. in Genetics at Queen Mary University of London. Currently, I’m employed as Lead Data Scientist (yak shaver..) and Senior Bioinformatician at The Bioinformatics Core at the NIHR Biomedical Research Centre for Mental Health, Kings College London. During my Ph.D., I developed an interest in bioinformatics and its application to human health and translational research.

I have 16 years experience in dealing with all kinds of Data – from molecular, genetic and clinical, cross-sectional and time-series data – and then putting it all together to tell a story, and identify potential biomarkers, novel therapeutic targets and contribute to a better understanding of human disease. I have a keen interest in the potential of Genomic and Personalised Medicine, and the education of patients and the public in these areas.

I’m a highly motivated, self-taught and always learning “Data Scientist”, and looking for a focused, honest and enthusiastic team to work with. I’m not a careerist. Ideally, I am looking for a role where I can use my skills as a Data Scientist to contribute to and drive forward real-world translational science, and help make an impact on public health, nationally and globally.

I am looking to move out of Academia and into a more professional environment. Although my background has been in Health and Life Science, as a Data Scientist I enjoy data, exploring new data and seeing what story it can tell us. My training as a Scientist, personal drive and interests in “Data” and what we can do with it, means that I can turn my hand to any kind of problem or data set.


See my online CV at http://snewhouse.github.io/ for full details


See my online CV at http://snewhouse.github.io/ for full details


  • R (+10 years)
  • Biostatistics (+10 years)
  • Bioinformatics (+10 years)
  • Data Visualisation (+10 years)
  • Research (+10 years)
  • Applied Predictive Modelling (+8 years)
  • Machine Learning (+8 years)
  • Biomarker Discovery (+6 years)
  • Teaching (+6 years)
  • Version Control (+5 years)
  • High-Performance Computing (+5 years)
  • Cloud Computing (+5 years)
  • Microsoft Excel (+15 years)
  • Tableau (+2 years)


    Data Science, Machine Learning, Project Management, Python, R, Research and Development, Shiny Web Apps, Team Management

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