Barts Life Sciences recruiting professors in computer health sciences
Barts Life Sciences (BLS) – a partnership between Queen Mary and Barts Health NHS Trust with the generous support of Barts Charity – is leading a new initiative to embed computer sciences at a senior level within Queen Mary to catalyse innovative precision medicine and population health research.
BLS is recruiting three new professors in computer health sciences who will – with the generous package of support available – together deliver innovative and collaborative research programmes leveraging our exceptional expertise in, and access to, deep biological data derived from tissue samples and imaging, and rich phenotypic data from electronic patient records across east London.
Ranked in the top 10 in the 2014 Research Excellence Framework, Queen Mary University of London is one of the UK’s leading research-intensive higher education institutions, delivering world class education and knowledge transfer across a wide range of subjects. Its School of Medicine and Dentistry is internationally recognised for its research and is ranked in the top 10 of medical schools in the UK. Its research spans basic, clinical and population health sciences enabling research and innovation collaborations across multiple disease areas.
This is an exciting opportunity to join the initiative and realise the full research potential of this multi-dimensional patient data for patient and public benefit. We are particularly keen to recruit non-clinical Professors and other Senior Faculty (equivalent to Associate Professor level) with research expertise in the following areas:
- Actionable Health Analytics
- Text Analytics
- Digital Pathology
These are tenured Professorial appointments, each initially supported for five years by Barts Charity, and including a competitive personal salary, funding for a Lecturer, an informatician / health data scientist, and PhD student.
Expressions of interest, including your CV and a brief outline of future research plans, should be sent to Professors Carol Dezateux (firstname.lastname@example.org) and Claude Chelala (email@example.com). We encourage interested applicants to contact us by 5pm 30th July 2020.
We are committed to increase the number of female scientists at this level and encourage female applicants to apply.