We are looking for early-career quantitatively trained scientists, whose ambition is to achieve an independent career in data-driven computational 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 or similar subject. 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
- Expertise in complex data analytical approaches and models
- Ability to conduct high quality research maintaining clear and accurate records
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