PhD Studentship
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Position Overview & Specifications
The UCL Department of Renal Medicine is the UKβs largest academic nephrology centre and has an international reputation for research. The department hosts researchers with particular expertise in immunology, genetics, physiology and cell biology and investigators in its Centre for Genetics and Genomics (www.ucl.ac.uk/nephrology/research/centre-genetics-and-genomics) have discovered numerous novel diseases and identified their genetic cause, resulting in high impact publications and the establishment of new experimental models of disease. The successful candidate will work with a cohesive team of researchers and clinicians (including biologists, geneticists, statisticians and adult and paediatric clinicians) supervised by Professor Gale. University College London (UCL) is Londonβs leading multidisciplinary university. In the recent 2021 Research Excellence Framework (REF2021) UCL was rated 1st in the UK for Clinical Medicine.
About the roleThis is a 3-year PhD research studentship, fully funded (including stipend, home tuition and laboratory fees) by Kidney Research UK, that will use large-scale genomic data from UK Biobank and the 100,000 Genomes Project to identify genetic contributors to severity of rare kidney diseases such as Alport Syndrome. The student will develop expertise in statistical genetics, genomics, coding and the use of high-performance computers to answer the clinically important biological question of why severity of some genetic kidney diseases can vary so much and will contribute to design of, and possibly conduct, laboratory experiments to study mechanisms underlying the findings. As data generation in biological science accelerates (including use of large-scale genomics, transcriptomics and proteomics) the skills acquired will equip the student to perform high-quality, rigorous and data-driven science throughout their future career.
About youApplicants should hold or expect to receive a first class or upper second class (or equivalent) degree in a biological or computational science subject. Applicants will need: A background in biology, statistics, epidemiology, computer science or related discipline together with a strong interest in developing their knowledge of statistics, bioinformatics or genetics applied to research in a rare disease. They will also need an ability to work collaboratively with a team of clinical experts and laboratory scientists. Experience in programming languages such as Python or R would also be valuable and a Masterβs degree or previous exposure to statistical genetics, genomics, proteomics, metabolomics, bioinformatics or computer science would be desirable. The successful student will join a very diverse and multidisciplinary team that includes clinicians, geneticists, laboratory and computer scientists and statisticians with a range of backgrounds. Funds are available to cover UK home student tuition fees in full, but not overseas fees. Flexible/part-time working is generally supported.
What we offerThis is an exciting opportunity to join a multidisciplinary team working across the Department of Renal Medicine and the Division of Medicine. As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: β’ 41 Days holiday (27 days annual leave, 8 bank holiday and 6 closure days) β’ Additional 5 daysβ annual leave purchase scheme β’ Defined benefit career average revalued earnings pension scheme (CARE) β’ Cycle to work scheme and season ticket loan β’ Immigration loan β’ Relocation scheme for certain posts β’ On-Site nursery β’ On-site gym β’ Enhanced maternity, paternity and adoption pay β’ Employee assistance programme: Staff Support Service β’ 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 InclusionAs Londonβs Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the worldβs 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 UCLβs workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality.
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (Β£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: Colleges & Universities
Based on transatlantic hiring benchmarks for PhD Studentship roles across University College London's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Colleges & Universities.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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