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:
For more information about the post, please contact Alessandra Vigilante (email@example.com) and Carsten Flohr (firstname.lastname@example.org).
About the Faculty:
King’s College London Faculty of Life Sciences and Medicine is one of the largest and most successful centres for research and education in the University. It consists of over 2000 staff and 5000 students within seven Schools and two Schools of Education.
The FoLSM Applied Bioinformatics Hub, home of a new and interdisciplinary network, is located on the Guy’s Campus in central London. It acts as a nucleus for a vibrant research community spanning the entire Faculty, bringing together researchers involved in different research areas such as computational genomics, genetics, cancer genomics, dermatology, immunology, reproductive biology and child health, cardiovascular research, neurobiology, evolutionary biology, pharmacology and others.
Hub for Applied Bioinformatics (HAB)
This is an interdisciplinary cross-cutting network that brings together academics, clinicians and staff with different expertise and requirements, to support and undertake ground-breaking research involving big data, and deliver high-level education programs. It acts as a nucleus for a vibrant research community, spanning the entire Faculty of Life Science and Medicine.
This post will be offered on a fixed-term contract until February 2027.
This is a full-time post - 100% full time equivalent.
- Provide bioinformatics expertise to help the Mind & Skin programme members to achieve the research objectives.
- Data and statistical analysis
- Dataset integration
- Keep an excellent record of analysis
- Prepare and present data to colleagues and other scientists
- Contribute to the production of research reports and publications
- The post holder may be asked to contribute bioinformatics expertise to other projects led by Professor Carsten Flohr.
The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.
Skills, knowledge, and experience
- PhD degree
- Previous experience working in bioinformatics with large datasets
- Previous experience in statistical analysis of data
- Excellent scientific analysis skills
- Excellent computer skills and programming (Python and R)
- Previous experience with imaging data analysis
- A deep technical understanding of bioinformatics analysis approaches and data.
- Self-motivated, enthusiastic and problem-solving attitude
- Very good oral and written communication skills
- The ability to mentor and develop bioinformaticians at all stages of the analysis project workflow
- Experience integrating different datasets
- Excellent computational skills applied to HPC, big data, software development and web technologies.
- Bioinformatics community network connections.
- Experience in teaching bioinformatics.
- Previous experience with AI and/or machine learning approaches