Cross-Disciplinary Post-Doctoral Fellowship (XDF)

Full-Time – 35 hours

Fixed-Term for 4 years (1st April 2024 – 31st March 2028)

Number of Posts – 3

We are looking for early-career quantitatively trained scientists with an ambition to achieve an independent career in data-driven quantitative biomedicine.

The Opportunity:

Fellows will follow a personalised training and research programme to become truly cross-disciplinary leaders in quantitative biomedicine. Fellows will gain analytical and computational expertise, and an in-depth appreciation of biomedical and health research. Fellows will be motivated to address biomedical questions, to apply and train others in their previously acquired analytical/computational skills, and to learn the strengths and limitations of biomedical science methods. Fellows will propose a well-developed, important and innovative biomedical project only after substantial relevant training

Your skills and attributes for success:

  • Appropriate degree, with relevant post-graduate research experience and a PhD in statistics, informatics, physics, engineering, mathematics, computer science, computational biology, physical chemistry, economics/fintech or similar. Equivalent professional qualification and/or experience will also be considered.
  • Ability to communicate complex information clearly, orally and in writing
  • Motivation to succeed at interdisciplinary research focussed on highly collaborative biomedical science
  • Expertise in complex data analytical approaches and models
  • Ability to conduct high quality research maintaining clear and accurate records

Please submit your CV and cover letter stating your motivation for applying, via the ‘Apply‘ button above. 

For Informal enquiries, please contact Chris Ponting: [email protected]

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