Academic ConnectJob id: 121425. Salary: £53,149 to £57,566 per annum, including London Weighting Allowance.
Posted: 30 July 2025. Closing date: 20 August 2025.
Business unit: Faculty of Life Sciences & Medicine. Department: Department of Women & Children's Health.
Contact details: Rachel Tribe or Rocio Martinez Nunez. Rachel.tribe@kcl.ac.uk or Rocio.martinez_nunez@kcl.ac.uk
Location: Guy's Campus. Category: Research.
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.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
- PhD qualified in relevant subject area
- Extensive experience working in bioinformatics with large datasets
- Previous experience in statistical analysis of data, leading to peer reviewed papers and/or presentation of findings at conferences
- Evidence of excellent scientific analysis skills
- Strong computer skills and knowledge of computer programming such as Unix, Python and R
- Previous experience with multi-omics and their integration
- Deep technical understanding of bioinformatics analysis approaches and data
- Ability to mentor and develop bioinformaticians at all stages of the analysis project workflow
Desirable criteria
- Excellent computational skills applied to HPC, big data, software development and web technologies
- Experience in teaching bioinformatics
- Previous experience with AI and/or machine learning approaches
- Interest in reproductive health and/or development of clinical tools and algorithms
Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “Apply Now”. This document will provide information of what criteria will be assessed at each stage of the recruitment process.
Further Information
We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.
We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.
As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.
We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.
To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.