|£42,405 to £47,178 per annum, including London Weighting Allowance
|7th December 2023
|4th January 2024
Closing date: 4th January 2024
This is an exciting opportunity to join an internationally leading interdisciplinary team of King’s College London, Oxford University and Surrey University scientists working on the ‘Mind & Skin’ research programme.
Funded by the UK Medical Research Foundation, we are generating complex sleep monitoring, brain imaging and skin phenotyping data to understand the mechanisms underpinning adolescent skin disorders. We will employ machine learning, artificial intelligence and data integration approaches to study potential links between atopic dermatitis (AD), pruritus, sleep disturbance and altered brain function, including cognitive changes.
The bioinformatician will work under the supervision of Dr. Alessandra Vigilante, Senior Lecturer in Bioinformatics, and Professor Carsten Flohr, Chair in Dermatology and Population Health Science and Mind & Skin Chief Investigator, and be embedded in the new KCL Hub for Applied Bioinformatics (HAB). S/he will provide support in the data integration analyses as well as statistical analysis of data. The main purpose of the role encompasses performing data integration and statistical analysis while offering comprehensive data-driven decision support by overseeing the cleaning, integration, and analysis of diverse datasets. This crucially involves collaborating closely with the interdisciplinary team to ensure the harmonization and cleanliness of multiple datasets, with the ultimate goal of uncovering connections between adolescent skin disorders, sleep disruptions, and altered brain function in the 'Mind & Skin' research programme.
We look for an ambitious candidate with established expertise in bioinformatics, specifically dealing with large data sets and data integration. Knowledge of python and R are essential.
Further information about the Mind & Skin project is found here:
This post will be offered on a fixed-term contract until February 2027.
This is a full-time post - 100% full time equivalent.
Skills, knowledge, and experience
Type / Role: