We are a young and fast-paced and expanding team. We are looking for a team player that is highly organised, with a keen interest in fetal cell biology and ready embark in our journey to bring the advances of single cell biology and organoids in the quickly growing fetal medicine field. The candidate will integrate in our diverse and interdisciplinary team, coordinate the handling of our large data stream, conduct advanced bioinformatics analyses and serve as link across the multiple projects currently run in the lab.
About the role
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TWe are looking for an experienced bioinformatician, highly organised and detail-oriented. Our team has a strong collaborative footprint.
The ideal candidate would be a strong team player, capable to understand the bioinformatics need of different research streams, and capable of interacting with a broad range of external collaborators. You will work with different advanced bioinformatics technologies, dealing with both wet lab data generation (10x and Biolegend platforms) and in silico analyses through both R and Python pipelines.
Role specific details :
This post is available for 24 months in the first instance.
Other
The advert will close on 12/01/2026 at 23:59 GMT, however we may close applications early if we receive a high volume of applications. Early application submission is recommended.
Interview Date(s) are scheduled for: 19/01/2026
If you have any queries about the role, please contact Dr Mattia Gerli m.gerli@ucl.ac.uk
If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the HR Team on oppong@ucl.ac.uk
The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work - please visit www.ucl.ac.uk/ways-of-working to find out more.
About you
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With this exciting PDRA opportunity, we are seeking a person with extensive experience in bioinformatics to join and support our team's work, contributing to multiple projects currently running.
The successful candidate will have the following:
Essential
PhD in Bioinformatics or related disciplines (awarded or pending VIVA)
Extensive research experience at postgraduate level
Proficient coding both in R and Python
Effective data management skills, with meticulous management of large datasets and ability to carry out collaborative work on multiple parallel projects
Familiarity with a broad range of multi-omic analyses (bulk/single cell RNAseq, proteomics, metabolomics)
Excellent scientific communication skills (written and oral)
Evidence of being able to bring large projects to completion with at least one article as first or co-first author
Desirable:
Evidence of coordination and contribution to international collaborations
Co-authorship in multiple research article and a keen interest in delivering highly collaborative work
Knowledge of organoids/assembloids-based system
Experience in supervision of research students / teaching exposure
MRes/MSc in engineering / computer science
What we offer
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As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
Additional 5 days annual leave purchase scheme
Defined benefit career average revalued earnings pension scheme (CARE)
Cycle to work scheme and season ticket loan
Immigration loan
Relocation scheme for certain posts
On-Site nursery
On-site gym
Enhanced maternity, paternity and adoption pay
Employee assistance programme: Staff Support Service
Discounted medical insurance
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
As London's Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world's talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.
We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.
Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
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