Data science and Bioinformatics: Fully Funded SURES PhD in Integrating genomic and clinical data to provide patient specific insights for precision oncology in Wales (RS869)

  • DeadlineDeadline: 18 August 2025
  • WalesWales

Description

Closing date: 18 August 2025

Open to: UK and international applicants

Funding Provider: Swansea University Research Excellence Scholarships (SURES)

Subject Area: Genomics and Bioinformatics, Clinical and translational oncology, Data science and health informatics, Public health and policy  

Aligned programme of study: PhD Medical and Health Care Studies 

Project start date: 1st October 2025  ** (Please see the note below regarding potential later start dates)

Supervisors:

This is an interdisciplinary PhD within the medical school, co-supervised by academics based in biomedical sciences (Hitchings and Francis) and Data Sciences (Lacey).  

  • Matthew Hitchings (Senior Research Associate; Swansea Medical School)  
  • Dr Arron Lacey (Senior Lecturer, Data Science, Swansea Medical School)  
  • Professor Lewis Francis (Swansea Medical School)  

Mode of study: Full time  

Project description: 

PhD Opportunity: Multi-Omic Integration for Precision Oncology; Transform cancer care through genomics, data science, and translational biology. 

Swansea University are pleased to offer a fully-funded Swansea University Research Excellence Scholarship (SURES) for a full-time doctoral student commencing in October 2025. Investigating functional genomic and multi-omic data analysis and integration to advance therapeutic and diagnostic strategies for oesophageal and pancreatic cancers, two malignancies with a significant disease burden in Wales and worldwide.  

This interdisciplinary supervisory team brings together expertise in health data science, microbial genomics, and cancer bioinformatics. Th selected student will work under the supervision of Dr Arron Lacey, a specialist in machine learning and natural language processing, Dr Matthew Hitchings, who will offer cutting-edge insight into high-throughput sequencing and a strong background in comparative genomics and bioinformatics and Professor Lewis Francis, a leader in pharmacogenomics and functional analysis to inform advanced diagnostic and therapeutic approaches. Together, they provide a robust foundation for advancing precision oncology in Wales through integrated genomic and clinical data approaches. 

This exciting doctoral project focuses on advancing personalised treatment strategies for two of Wales’ most pressing cancer challenges—oesophageal and pancreatic malignancies. You’ll develop innovative workflows to integrate and analyse large-scale multi-omic datasets from Genomics England’s 100,000 Genomes Project, including whole-genome sequencing, bulk and single-cell RNA-seq. 

These methodologies will be refined and later applied to Welsh genomic resources (SAIL/AWMGS) to identify patient subgroups, uncover disease-driving mechanisms, and discover therapeutic targets relevant to Welsh populations. You’ll also help translate your computational insights into lab-based validation using experimental models, paving the way for new diagnostics and targeted therapies. 

By the end of this project, you’ll have contributed: 

  • Novel biomarkers and stratification tools for clinical impact 
  • Welsh-centric datasets tailored for precision oncology 
  • Scalable methodologies for secure multi-omic data integration 

The supervisory team blends expertise across genomics, health data science, and translational oncology, offering an outstanding environment for training and mentorship. 

Ideal candidates will have a background in bioinformatics, molecular biology, or biomedical data science—and a drive to push the boundaries of patient-centric cancer research.  

For more details please see here: https://www.swansea.ac.uk/postgraduate/scholarships/research/medical-phd-genomic-data-rs869.php

Entry Requirements

Essential Criteria:

  1. Strong Foundation in Bioinformatics & Genomic Analysis
    • Proficiency in handling large-scale sequencing data (WGS, RNA-seq) 
    • Familiarity with tools such as Galaxy, GATK, or Python/R for omic data analysis 
  2. Advanced Data Science & Computational Skills 
    • Experience in machine learning, statistical modelling, or data integration 
    • Ability to develop and validate robust analytical pipelines 
  3. Solid Understanding of Cancer Biology & Molecular Mechanisms
    • Knowledge of tumour biology, especially oesophageal and pancreatic cancers
    • Appreciation of translational oncology and therapeutic development 
  4. Aptitude for Experimental Validation
    • Hands-on lab experience or willingness to train in wet-lab methods 
    • Understanding of how computational insights translate to biological models 
  5. Initiative, Independence & Scientific Curiosity
    • Enthusiasm for exploring complex datasets and asking meaningful questions 
    • Demonstrated ability to lead and innovate within research projects 
  6. Communication & Collaboration Skills
    • Able to work across clinical, academic, and data science communities 
    • Comfortable presenting to multi-disciplinary teams and publishing findings

Academic Requirements

i) 1st UG degree (Bachelor Equivalence)  

ii) OR 2.1 UG degree (Bachelor Equivalence) & Masters (Distinction) 

Candidates must have achieved, or be expecting to achieve, a 1st class UK undergraduate degree (or equivalent international qualification), or a 2:1 UK undergraduate degree and a Distinction in a UK master’s degree (or international equivalent) 

  • Where applicants have multiple master’s degrees, a distinction must be held in the degree that is most relevant to the intended PhD study.
  • If you are currently studying for a master’s level qualification with an expected award date that is later than 01/10/2025, you should hold a minimum of an upper-second-class (2:1) honours degree.  
  • You should be able to demonstrate a pass with a minimum grade average of at least 70% for your part-one master’s degree modules (the taught aspect of your master’s course rather than a research-focused dissertation) and submit your dissertation by no later than 30/09/2025. 

NB: If you hold a non-UK degree, please see the Swansea University degree comparisons to find out if you meet the eligibility criteria.  

Applicants must be able to begin their course of study in October 2025.  As a cohort-based programme, deferral to an alternative enrolment window within the academic year or to another academic year is not permissible. 

English Language requirements: If applicable – IELTS 6.5 overall (with a score of at least 6.5 in each individual component) or equivalent that is recognised by Swansea University.  Details on the Swansea University English Language entry policy can be found here. 

Please note that both the degree and language-proficiency entry requirements for SURES are higher than the baseline standard for entry that is stipulated for most of the PhD programmes at Swansea University. 

Funding

Each SURES scholarship includes tuition fees and a stipend – reviewed annually at the UKRI standard rate and a £1,000 annual training allowance to support immersive training experiences, conference attendance, engagement with industry and international collaborative  opportunities.  

Each scholarship is offered for a maximum period of three years; SURES students are expected to submit their theses within this timescale.  

How To Apply

To apply, please complete the entire application form, following this link: Complete your application here in Learner Gateway 

In order to be considered for this scholarship award the following steps are also required. 

1) In section ‘Programme Related Information’ please input the relevant RS Code for the scholarship award i.e. RS869 

2) In section ‘Research’ you will see ‘Proposed project title/studentship title’* (Mandatory) 

  • In ‘Proposed project title/studentship title’ please input:  
    • the RS Code, RS869 and 
    • the scholarship title.   
  • Please leave Proposed Supervisor field blank 
  • Please leave Research Project (if applicable) blank 
  • In ‘Do you have a proposal to upload?*’(Mandatory) Please select Yes 
  • Then upload copy of advert (you can save the advert by clicking print, and then print to pdf) 

3) In section ‘Funding information’ please choose the option ‘Scholarship Funding’ only. Please ensure no other options are selected. 

*It is the responsibility of the applicant to list the above information accurately when applying, please note that applications received without the above information listed will not be considered for the scholarship award. 

One application is required per individual Swansea University led research scholarship award; applications cannot be considered listing multiple Swansea University led research scholarship awards. 

NOTE: Applicants for PhD/EngD/ProfD/EdD - to support our commitment to providing an environment free of discrimination and celebrating diversity at Swansea University you are required to complete an Equality, Diversity and Inclusion (EDI) Monitoring Form in addition to your programme application form.    

Please note that completion of the EDI Monitoring Form is mandatory; your application may not progress if this information is not submitted. 

As part of your online application, you MUST upload the following documents (please do not send these via email): 

  • CV 
  • Degree certificates and transcripts (if you are currently studying for a degree, screenshots of your grades to date are sufficient) 
  • A cover letter including a ‘Supplementary Personal Statement’ to explain why the position particularly matches your skills and experience and how you choose to develop the project. 
  • One reference (academic or previous employer) on headed paper or using the Swansea University reference form. Please note that we are not able to accept references received citing private email accounts, e.g. Hotmail. Referees should cite their employment email address for verification of reference. 
  • Evidence of meeting English Language requirement (if applicable). 
  • Copy of UK resident visa (if applicable) 
  • Confirmation of EDI form submission 

Informal enquiries are welcome; please contact Dr Matthew Hitchings m.hitchings@swansea.ac.uk or Dr Arron Lacey a.s.lacey@swansea.ac.uk   

*External Partner Application Data Sharing – Please note that as part of the scholarship application selection process, application data sharing may occur with external partners outside of the University, when joint/co- funding of a scholarship project is applicable. 

** In exceptional circumstances, and subject to the discretion of the University and/or the relevant funding body, a deferral of offer may be granted to the next available enrolment period. Such deferral will typically not exceed a duration of three calendar months from the originally stipulated commencement date. Please note that only one deferral may be considered, and any such deferral is not guaranteed. 

Who is eligible to apply?

Open to: UK and international applicants

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