Ref Number
B02-10678
Professional Expertise
Research and Research Support
Department
School of Life & Medical Sciences (B02)
Location
London
Working Pattern
Full time
Salary
£43,981-£52,586
Contract Type
Fixed-term
Working Type
Hybrid
Available for Secondment
No
Closing Date
17-Jun-2026
The Division of Biosciences at UCL is one of the world's foremost centres for research and teaching in the biological sciences. We have an outstanding international reputation and a community of over 500 staff and more than 300 PhD students engaged in cutting edge research and collaboration.
Further information can be found on our website https://www.ucl.ac.uk/biosciences
This post is based in the Department of Genetics, Evolution & Environment (GEE) and is an exciting opportunity to join the Camus group, working in close collaboration with Professor Nick Lane, in the Centre for Life's Origins and Evolution (CLOE). You will work in a small, collaborative and supportive team that uses Drosophila as a model to understand how interactions between mitochondrial and nuclear genomes shape physiology, fitness and adaptation in a changing environment.
The main purpose of this position is to complete the final population-genomics objective of a Leverhulme Trust funded project, "Predicting the outcomes of mitonuclear introgression".
Specifically, the post holder will analyse Pool-Seq data generated from Drosophila experimental evolution cages in which admixed mitonuclear populations have been evolving under thermal and nutritional stressors. They will characterise allele frequency dynamics through time, identify candidate loci and pathways under selection (with particular focus on nuclear-encoded mitochondrial genes), and integrate the results with the phenotypic, mitochondrial physiology and RNA-Seq datasets already generated by the group. The role will involve close collaboration with the PI and co-investigator and is expected to lead to one or more peer-reviewed publications.
This is a fixed-term role from 1 October 2026 until 15 January 2027 in the first instance, to complete a defined work package on an existing Leverhulme Trust grant.
- Salary will be at UCL Grade 7.
- Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B with payment at Grade 7 being backdated to the date of final submission of the PhD thesis (including corrections).
- We will consider applications to work on a part-time, flexible and job share basis wherever possible.
- This role is eligible for hybrid working with a minimum of 40% on site.
- This appointment is subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Please visit https://www.ucl.ac.uk/human-resources/conditions-service-research-teaching-and-professional-services-staff for more information.
Given the short fixed duration of this contract, this role does not meet the eligibility requirements for a Skilled Worker Visa certificate of sponsorship under UK Visas and Immigration legislation. Therefore UCL will not be able to sponsor individuals who require right to work in the UK to carry out this role.
A job description and person specification can be accessed at the bottom of this page.
If you have any queries about the role, please contact Dr Florencia Camus at [email protected].
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 Administrator.
You will be a researcher with strong skills in the analysis of high-throughput sequencing data and a genuine interest in evolutionary and population genomics. Over the course of the contract you will be expected to deliver a clean, reproducible analysis of the Pool-Seq dataset, integrate it with existing phenotypic and transcriptomic data, and contribute substantively to one or more manuscripts.
You must have a PhD (awarded or close to submission) in evolutionary biology, genetics, genomics, bioinformatics or a closely related discipline, and proven knowledge of population genomics concepts and methods.
Experience analysing Pool-Seq, whole-genome resequencing or comparable high-throughput sequencing data is essential, as is proficiency in scripting (Python, R and/or Bash) and working in a Linux/HPC environment. Prior experience with Drosophila or mitochondrial/mitonuclear biology would be an advantage but is not essential.
The UCL Ways of Working supports colleagues to be successful and happy at UCL through sharing expectations around how we work – please https://www.ucl.ac.uk/human-resources/policies-advice/ways-working to find out more.
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.
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 division holds an Athena SWAN Silver award, in recognition of our commitment to advancing gender equality.
You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/
