Internal Redeployment Only-Research Associate in Computational Biology presso Cardiff University
Cardiff University · Cardiff, Regno Unito · Onsite
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Internal Redeployment Only-Research Associate in Computational Biology
We have a new and exciting postdoctoral research associate position in Computational Biology to join the team of Dr Catherine Hogan in ECSCRI, School of Biosciences. This role will support an ongoing BBSRC-funded project focused on understanding the molecular cell biology of the fate of genetically mutant cells in healthy pancreas tissues, supervised by Dr Catherine Hogan (PI). This post will be jointly supervised by Dr Hogan and Dr Maria Secrier at UCL (Co-I).
In this role, you will carry out:
- Computational analysis of transcriptomics datasets (scRNA sequencing and spatial transcriptomics) and 3D immunofluorescence imaging data.
- Work with Secrier team to apply and develop in-house and commercial tools to analyse data and test hypotheses.
- Work with Hogan and Secrier teams to integrate computational data with wet lab data.
We’d like to hear from you if you:
- Have experience in using computational methods to understand complex biological systems.
- Have experience in the manipulation, analysis and interpretation of large biological datasets in different data formats.
- Possess excellent written and verbal communication, team-working and collaboration skills.
- Experience of collaborative working with biologists, biomedical or mathematical scientists.
Secondment opportunity welcome - please note for Cardiff University members of staff interested in this post on a secondment basis, permission will need to be sought from your current Line Manager before applying.
Salary: £41,064 - £46,049 per annum (Grade 6). Please note that it is not expected that we will appoint above the bottom of the scale initially, except in exceptional circumstances.
Closing date: Thursday, 2 October 2025
Cardiff University is committed to supporting and promoting equality and diversity and to creating an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds. We therefore welcome applicants from all sections of the community regardless of sex, ethnicity, disability, sexual orientation, trans identity, relationship status, religion or belief, caring responsibilities, or age. In supporting our employees to achieve a balance between their work and their personal lives, we will also consider proposals for flexible working or job share arrangements.
Applications may be submitted in Welsh, and an application submitted in Welsh will not be treated less favourably than an application submitted in English.
Cardiff University is a signatory to the San Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions we will evaluate applicants on the quality of their research, not publication metrics or the identity of the journal in which the research is published. More information is available at: Responsible research assessment - Research - Cardiff University
Job Description
Job Description
Main Duties
- To develop and apply cutting-edge computational analysis pipelines to biological datasets and unravel molecular, cellular and spatial characteristics of genetically mutant cells within a complex epithelial tissue.
- To be responsible for developing and adapting in-house and commercial computational methods to biological datasets and test hypotheses.
- To work with all team members and deliver on all objectives outlined in funded project and in a timely manner.
- To communicate and disseminate research findings to project team (PI, Co-I and Team members) through regular meetings.
- To contribute to the overall research performance of the School and University by the production of measurable outputs including publishing in international, high impact academic journals, present data at national/international conferences and local meetings as required.
- To assist in the supervision and training of undergraduate and postgraduate students in research skills/techniques.
- To undertake administrative tasks associated with the research project, including the planning and organisation of the project and the implementation of procedures required to ensure accurate and timely reporting.
- To review and synthesise existing research literature around the subject area.
- To participate in School research activities.
- To build and create networks both internally and externally to the university, to influence decisions, explore future research requirements, and share research ideas for the benefit of current research projects, and to contribute to new project development.
- To undergo personal and professional development that is appropriate to, and which will enhance performance, including spatial transcriptomic and RNA sequencing data analysis training.
- To participate in School administration and activities to promote the School and its work to the wider University and the outside world
- Any other duties not included above, but consistent with the role.
- Ensure that an understanding of the importance of confidentiality is applied when undertaking all duties.
- Abide by University policies on Health and Safety and Equality and Diversity.
- Perform other duties occasionally which are not included above, but which will be consistent with the role
Salary Range Max.
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Salary Range Min.
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Essential Criteria
Qualifications and Education
- Holder of PhD/ DPhil (or nearing completion), or relevant industrial experience, in a mathematics, computational biology, bioinformatics, or related biological sciences with substantial programming experience.
- Expertise and proven portfolio in:
- Analysis, visualisation and interpretation of multi-dimensional biomedical/ biological datasets, particularly ‘omics, imaging data and/or spatial transcriptomics data.
- R or Python programming.
- Experience in statistical analysis, machine learning and/or high-performance computing.
- Proven ability to learn and adapt new computational methods, programming languages, platforms.
- Experience in interdisciplinary research or collaborative working with biomedical/ biological/ mathematical researchers.
- Proven ability to publish in international journals, at international conferences.
- Knowledge and understanding of competitive research funding to be able to develop applications to funding bodies.
- Proven ability in effective and persuasive communication.
- Ability to supervise the work of others to focus team efforts and motivate individuals.
- Proven ability to demonstrate creativity, innovation and team-working within a role.
- Proven ability to work without close supervision.
- Experience in application of Imaris (Biplane) or similar image analysis packages to large imaging datasets.
- Robust knowledge and understanding of fundamentals of cancer.