LMS 1316 Professor of Computational/Systems Biology -
Professor of Computational/Systems Biology
(Full time, permanent)
MRC Band 1 Salary: £81,182 – £104,829 p.a. including allowances
The London Institute of Medical Sciences invites applications for a senior tenured leadership position at the level of a full Professorship.
Applicants will have a strong international profile and outstanding track record of independent research in an area of computational or systems biology that is synergistic with the Institute’s core strengths, which include epigenetics, gene regulation, metabolism, and imaging.
Focus areas include
– Network analysis, inference and data-based modelling of biological systems
– Biophysics modelling with an emphasis on cells and tissues
– Quantitative, systems level analysis of biological problems
– State or phase transitions and emergent properties
– How variability drives phenotypes across scales
– Molecular mechanisms of human disease
– Bridging disease phenotype or variation with single molecules
– Machine learning/AI
– State-of-the-art imaging and image analysis
The successful applicant will be influential in shaping overall research strategy as well as the development of individual research programs and mentoring junior colleagues within the Quantitative Biology Section https://lms.mrc.ac.uk/research/quantitative-biology/. The Section applies computational and experimental methods across a range of scales from single molecules to human patients.
The LMS is embedded in a clinical environment and provides excellent opportunities for translational work. We can offer outstanding candidates competitive packages that include intramural funding through the UK Medical Research Council with core-funded posts, access to PhD studentships and excellent core facilities (bioinformatics, sequencing, FACS, proteomics, high-resolution imaging, rodent transgenics, whole animal phenotyping). The position is directly affiliated with Imperial College London. As one of the world’s top-ranked universities, Imperial College offers excellent opportunities to collaborate with leading scientists in complementary areas, including Computing, Data Science, Maths, Physics, Chemistry and Engineering.
The Institute is committed to supporting diversity in science and to enabling the careers of women, ethnic minorities, and those with family or other commitments. Costs incurred for caring responsibilities will be covered for interviewees.