Overview
Research Fellow in Bioinformatics – Strand, London, WC2R 2LS
About Us
The School of Life Course & Population Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in women and children’s health, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women’s Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments.
About the role
This is an exciting opportunity for a highly experienced senior bioinformatician, with a biological background and interest in translational research, to join an internationally leading interdisciplinary team in the Department of Women & Children’s Health and the Clinical Diagnostics Development Unit (CDDU), Department of Infectious Diseases at King’s College London. The post will be hosted in the Faculty of Life Sciences & Medicine Hub for Applied Bioinformatics.
This post is jointly funded by the Borne Foundation (50%) and King’s Health Partner’s Centre for Translational Medicine (CTM) (50%). This post will support analysis of multiomics data (e.g. single cell and single nuclear RNA-seq, spatial transcriptomics, proteomics etc.) generated by the Borne Uterine Mapping Project (BUMP, focussed on revealing novel pathways and therapeutic targets related to preterm birth) as well as the activities of the CDDU directed as developing new diagnostics (Dr Martinez-Nunez) using harmonised protocols for clinical sample processing and multiomics approaches (including transcriptomics, genomics, metagenomics etc.).
We have joined our teams to provide bespoke support and analysis of single cell, single nuclear, and spatial data acquired by the BUMP study central team and collaborators and researchers at KCL via the CDDU. 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, analysis, and storage of diverse datasets.
The bioinformatician will work under the supervision of Prof. Rachel Tribe and Dr Martinez-Nunez. The postholder will also benefit from the vibrant and growing bioinformatics community led by Dr. Alessandra Vigilante (lead of the Faculty of Life Sciences and Medicine Hub for Applied Bioinformatics).
We are looking for an ambitious candidate with established expertise in bioinformatics, specifically dealing with large data sets and data integration. Knowledge of python and R is essential.
This is a full time (35 hours per week), and you will be offered a fixed term contract until 30 June 2027.
IMPORTANT: Before applying for this role, please make sure you have the right to work in the country where the role is based. Unless it clearly stipulates within in the job advert above that the hiring company is looking to or able to sponsor applicants it is deemed that the hiring employer will only consider applications from those able to comply with and work in the country where the role is based.
