Fixed-term

Research Fellow for Research and Research Support (B02-10455)

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About us The EGA Institute for Women’s Health is an exciting and dynamic environment, and its mission is to bring together the expertise of clinicians and researchers from a diverse range of disciplines so that they can deliver excellence and innovation in research, clinical practice, education, and training in order to make a real and sustainable difference to women’s and babies’ health locally, nationally, and worldwide. About the role The successful candidate will have the unique opportunity to join the WE CARE Centre and the Women’s Cancer Department with an open-ended contract. The candidate needs to have experience in either wet-lab procedures or bioinformatic analyses of complex data including genomics/multiomics datasets relevant for the current interests of the group. The is offered at UCL Grade 7  £45,103– £56,950, incl. London Weighing Allowance A PhD or equivalent professional qualification is required for this role. They will need to show evidence of independent and original contributions to the research. They will also need to be willing and can contribute to the wider research and teaching programme of the Centre. 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 About you We are seeking a post-doctoral research fellow with either wet-lab experience or bioinformatic skills in analyses of complex data including multiomics datasets to work collaboratively with other team members, whilst developing their own research niche within the Centre. The successful candidate will be supervised by Dr. Filipe Correia Martins (Centre lead) and will work with the research group and collaborators’ network and will be supported to build new collaborations as required. PhD or equivalent professional qualification is required for this role. If the PhD has not yet been awarded, the initial appointment will be at Grade 6B with payment at Grade 7 being backdated to the date of final submission of the PhD Thesis. What we offer As well as the exciting opportunities this role presents, we also offer great benefits. Please visit https://www.ucl.ac.uk/work-at-ucl/rewards-and-benefits to find out more. If you have any queries about the post, or if you’d need a reasonable adjustment, or a more accessible format to apply for this job online, please contact M.karakas@ucl.ac.uk For more information on the WE CARE centre, please visit this link: https://www.ucl.ac.uk/population-health-sciences/womens-health/research/womens-cancer/centre-womens-cancer-research-evolution-and-interception-we-care-centre 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 Gold award, in recognition of our long-term commitment and ‘beacon’ status in advancing gender equality. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/ Please also visit EGA IfWH webpage: https://www.ucl.ac.uk/womens-health/ega-institute-womens-health Available documents Attached documents are available under links. Clicking a document link will initialize its download. download: Research Fellow in Women’s Cancer Job description FCM Final.docx Apply Now

Research Fellow for Research and Research Support (B02-10523)

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About us UCL is one of the top Universities in the world, with superb facilities for biomedical science and its translation to human disease. The Division of Medicine (http://www.ucl.ac.uk/medicine) has several highly successful groups working in the fields of Immunology and Rheumatology. Dr Elizabeth Rosser is offering an exciting opportunity for a post-doc in Division of Medicine at UCL. This post will be funded by the Medical Research Foundation and Moorfields Eye Charity and will contribute to a large programme of work investigating the immunopathogenesis of childhood-onset arthritis and its associated uveitis. This post will be based in UCL’s Division of Medicine but will have opportunities to work across departments through strong collaborators within the UCL GOS ICH, and larger UK collaborative networks. About the role We are seeking a motivated and detail-oriented Postdoctoral Research Associate to join the Rosser Group and contribute to ongoing research investigating immunopathogenesis of childhood-onset arthritis and associated uveitis. This project will perform high-dimensional analyses of precious samples (including joint and ocular tissues) collected from young people with these conditions, and utilise these data to inform in vivo modelling experiments aimed to better understand disease mechanisms. The primary aim of this role is to define immunological features associated with B cell dysfunction and uveitis risk (e.g. such as age-at-onset and anti-nuclear antibody positivity) in patients with juvenile idiopathic arthritis (JIA). As part of this position, a particular focus will be on cellular interactions between B cells and other immune cell populations. This is a fixed-term, short-term position and would particularly suit a candidate interested in developing their own independent research direction. The successful applicant will be supported in generating preliminary data and preparing applications for external fellowship funding. This role is suitable for UCL sponsorship. About you You are a motivated and detail-oriented researcherwith experience in immunology, ideally with a focus on autoimmune orinflammatory diseases. You have a strong background in designing and conductingexperimental studies, alongside hands-on laboratory experience using techniquessuch as flow cytometry and primary cell culture, working with both humansamples and animal models. You are confident in analysing complexmulti-parameter datasets (e.g. spectral flow cytometry, imaging data,multi-omics). You also have strong data interpretation skills and maintainaccurate experimental records in line with regulatory standards. You will have a collaborative mindset, happy towork across cross-disciplinary. You are also an effective communicator, withexperience contributing to publications and presenting research at scientificmeetings. You bring initiative and creativity, with the ability to developindependent research ideas and contribute to grant or fellowship applications. What we offer This is an exciting opportunity to join a multidisciplinary team working across the Division of Medicine. 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 knowdiversity fosters creativity and innovation, and we want our community torepresent the diversity of the world’s talent. We are committed to equality ofopportunity, to being fair and inclusive, and to being a place where we allbelong. We therefore particularly encourageapplications from candidates who are likely to be underrepresented in UCL’sworkforce. These include people from Black, Asian andethnic minority backgrounds; disabled people; LGBTQI+ people Our department holds an Athena SWAN Silveraward, in recognition of our commitment and demonstrable impact in advancinggender equality. Available documents Attached documents are available under links. Clicking a document link will initialize its download. download: Research Fellow JD.docx Apply Now

PhD studentship – Measuring mycorrhizal diversity for monitoring change at landscape scale.

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Location: Imperial College London and Royal Botanic Gardens, Kew.  Supervisors: Prof. Martin I. Bidartondo and Dr Guillaume Delhaye.  Project duration: 1 October 2026 – 30 September 2030.  Funding for: UK Students. The studentship is subject to UKRI eligibility criteria and will cover fees and stipend at UKRI rates for a maximum of 4 years full-time.  Deadline for application: Monday 1 June 2026, 5pm GMT.  Interviews: 19 June 2026.  Context: Mycorrhizal fungi are central to ecosystem processes such as plant nutrition and soil carbon sequestration. Different approaches exist to assess mycorrhizas in the environment, but the impact of these on assessments of biodiversity and ecosystem services is unknown. This project will create synergy between the use of environmental data (Natural Capital and Ecosystem Assessment, ICP Forests, Nature Unlocked) to inform land management and the generation of high-resolution local data to evaluate, optimise and justify national and international mycorrhizal assessment, monitoring, restoration, nature-based solutions, climate-adaptation strategies and conservation. It will compare and refine approaches for environmental detection and quantification of mycorrhizal fungi, including first-, second- and third-generation DNA sequencing technologies for roots and soil across different UK habitats to examine, for example, the impact of intra-genomic variation on biodiversity metrics. It will also enable essential multi-locus genotyping, genet-size assessments, comparisons of roots versus soil hyphae versus ingrowth-bag hyphae, and may incorporate mycorrhizal enzyme assays, trait analyses, inoculum-potential bioassays, air-spore traps and rodent-dispersed spore traps.  Objectives:  1.  Characterise local fungal diversity across a mosaic of ecosystems (grassland and forests) at two English estates (60 and 12 acres) using environmental eukaryotic soil DNA, with a primary focus on mycorrhizal fungi.  2.  Quantify method-specific variation in biodiversity estimates by comparing different monitoring approaches (fruitbody surveys, DNA identification of mycorrhizas, soil DNA and/or spore traps).  3. Test seasonal variation in fungal community composition and diversity in soil, mycorrhizas/roots, fruitbodies and spores.  4. Benchmark local ecosystem diversity against comparable sites in southern England, including Kew’s Wakehurst Living Laboratory.  5. Characterise environmental conditions and ecosystem services, including soil chemistry (soil carbon and nutrients) and soil nutrient-cycling enzymes and their change through time.  Training opportunities: The student will receive training in collection of environmental data including DNA, fungal identification, molecular and statistical methods, and bioinformatics. They will be trained in field and laboratory work, including but not restricted to, DNA extraction, enzymatic measurement, qPCR, microscopy, root staining) and work closely with other projects within the Mycorrhizal Ecology Lab at RBG Kew. Additional opportunities for training are available at RBG Kew and Imperial College; both partners provide world-leading and extensive training to PhD students, including e.g. science communication and international partnerships. The skills developed are interdisciplinary and relevant to many fields in industry and academia including plant and fungal science, biodiversity and environmental change, project management, and science communication.  Partners: This project will include multiple partners within RBG Kew (Dr Carrie Andrew, Dr Jill Kowal, Mycorrhizal Ecology Lab, RBG Kew Fungarium, Molecular Ecology and Population Genetics, Spatial Ecology Team) and abroad (Dr Laura M. Suz, Botanical Institute of Barcelona).  Funding amount: fees and stipend at UKRI rates (for the academic year 2026-27 the stipend rate is £21,805 plus £2,000 London weighting; this will increase annually with inflation). Generous funding for field and laboratory work is available. The project is funded by a philanthropic donor.  The candidate: Applicants should have a 1st class or high 2:1 BSc degree (or international equivalent) in Biology, Ecology, Genetics, Microbiology, Plant Science, Environmental Biology or Biochemistry, or another relevant field. A Master’s degree with distinction (or equivalent) is strongly preferred. Applicants must demonstrate research potential in environmental sciences and meet the higher-level English Language requirements at ICL (https://www.imperial.ac.uk/study/apply/english-language/).  Desirable skills/attributes: Knowledge of biodiversity measures, fungal biology and genetics, ability to carry out regular field and laboratory work, a driving licence, strong interest in molecular ecology and quantitative analyses, experience with field and laboratory work including microbiology and/or molecular skills, naturalist skills including fungal identification, and/or willingness to work across ecology–chemistry–microscopy.  How to apply: Applications should consist of a single PDF document containing a personal statement (1 page max), a CV (2 pages max) and contact details for two references. Please name the document using the format PhDApplication_2026_[First Name]_[Last Name] and send to g.delhaye@kew.org with the email subject “PhD Application mycorrhizal diversity”.  Informal Enquiries: Informal enquiries about this project can be sent to g.delhaye@kew.org

Research Assistant for Research and Research Support (B02-10534)

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About us The Research Department of Neurodegenerative Disease is recognised as one of the foremost international centres for the study of dementia and other neurodegenerative diseases. Based in the department is the UCL Dementia Research Centre (DRC), a hub for clinical research into various forms of dementia. Our work focuses on identifying and understanding the disease processes that cause dementia, the factors that influence these disease processes, and how best to support people with dementia and their families. In addition to our research, we also provide a cognitive disorders clinic within the National Hospital for Neurology and Neurosurgery. About the role We are seeking a Research Assistant to join our Frontotemporal Dementia (FTD) research team at the DRC, while primarily supporting a broader research programme focused on capturing the full spectrum of FTD-MND features using digital technologies. This role will focus on validating digital biomarkers in motor neurone disease (MND), with the aim of building a robust evidence base to support their use in future clinical trials. You will play a key role in setting up and delivering a multi-centre study across UK MND clinics. Your responsibilities will include working closely with local sites to support study set-up and delivery, onboarding participants, obtaining informed consent, and ensuring they understand study procedures, and coordinating the shipment and set-up of digital devices. You will also be responsible for maintaining high-quality data through ongoing monitoring, quality control, and database management. In addition, you will support the local testing and validation of digital and cognitive assessments. An honorary contract will be sought from UCLH NHS Foundation Trust, for which a DBS check will be required. This role is eligible for hybrid working with a minimum of 60% of time on site. The role is available from 01 June 2026 and funded by the Motor Neuron Disease Association until 30 September 2027 in the first instance. If you need reasonable adjustments or a more accessible format to apply for this job online, or have any queries regarding the application process, please contact the Institute of Neurology HR Team (ion.hradmin@ucl.ac.uk). Informal enquiries regarding the role can be addressed to Professor Jonathan Rohrer (j.rohrer@ucl.ac.uk). A full job description and person specification for this role can be accessed below. To apply, please upload a current CV, complete the online application form, and use the supporting statement section or upload a cover letter to outline how you meet the essential and desirable criteria for the role. Please do not upload any additional attachments as these will not be considered by the selection panel. About you You will hold a BSc in Neuroscience, Psychology, or a related subject, and have a good working knowledge of neurodegenerative diseases including biomarkers and the underlying causes of FTD and MND. You will have strong coding, communication, and problem-solving skills, alongside experience of assessing cognition and digital biomarkers and of working with participants or patients in a clinical research or healthcare environment. What we offer Starting salary offered in the range £39,148 – £41,833 per annum, inclusive of London Allowance. As well as the exciting opportunities this role presents, we also offer 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 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. We will consider applications to work on a part-time, flexible, and job share basis wherever possible. 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. Our commitment to Equality, Diversity and Inclusion The Institute prides itself on operating in an all-inclusive environment irrespective of personal, physical, or social characteristics. Teamwork is highly valued, individual strengths are recognised and celebrated, and we are committed to advancing the careers of everyone. 12% of Institute staff are actively working on Equality, Diversity and Inclusion (EDI) initiatives; visit our EDI website for more information about our initiatives and priorities. The Institute also holds an Athena SWAN Gold award, in recognition of our commitment and demonstrable impact in advancing gender equality. 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+ and gender diverse people in all roles, and women in Grade 9 and 10 roles. Available documents Attached documents are available under links. Clicking a document link will initialize its download. download: 2026-04-Research Assistant (Rohrer, DRC)-Job description and person specification.pdf download: ION-Information for candidates.pdf Apply Now

Research Associate in Statistical Genetics

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About the role We are looking for a motivated Research Associate to lead the genomic and proteomic analyses for STRAT-GLP1, a research programme funded by The Michael J. Fox Foundation for Parkinson’s Research (MJFF). This post will deliver the core analytical aims of the project, using human genetics, multi-cohort genome-wide association studies (GWAS), plasma proteomics, and drug-target Mendelian randomisation to define metabolically stratified Parkinson’s disease (PD) subtypes and identify which patients are most likely to respond to GLP-1 receptor agonists (GLP-1RAs). What you would be doing You will be working closely with Dr Cynthia Sandor and collaborators at Cardiff University (Prof Caleb Webber, Dr Samuel Neaves, and Dr Viola Volpato). The project aims to understand how metabolic factors — including insulin resistance, glycaemic dysregulation, adiposity, lipid metabolism, and renin–angiotensin system activity — influence PD risk, genetic architecture, and disease progression. Using large international datasets including UK Biobank, All of Us, Our Future Health, PPMI, and OPDC/Tracking, you will perform stratified GWAS and drug-target Mendelian randomisation to identify genetically defined PD subtypes, and translate these findings into clinically actionable blood-based proteomic biomarkers using Olink (PPMI and UK Biobank) and SomaScan (OPDC/Tracking) platforms. You will be the primary analyst on the project, with access to established data pipelines and secure compute environments from day one (UK Biobank Application 69610; PPMI; All of Us; Our Future Health; OPDC/Tracking). Advanced statistical approaches will be used to integrate genetic and proteomic data to identify patterns of disease progression and potential therapeutic targets, including GLP1R-related pathways. What we are looking for You will hold a PhD in statistical genetics, computational biology, bioinformatics, epidemiology, or a closely related quantitative discipline. You should have demonstrable experience in GWAS, Mendelian randomisation, and large-scale biobank data analysis. Familiarity with proteomic datsets and Bayesian modelling is desirable but not essential. What we can offer you This post will be based in the Department of Brain Sciences and part of the UK Dementia Research Institute at Imperial College London, working closely with a multidisciplinary research team. Postdocs enjoy excellent career development opportunities with: Access to a range of cutting-edge technologies The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Strong national links through the UK DRI with attendance at its annual scientific meeting ‘Connectome’. Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing. Further information This is a full-time fixed-term post based at our White City Campus. If you require any further details about the role, please contact Dr Cynthia Sandor (c.sandor@imperial.ac.uk) Available documents Attached documents are available under links. Clicking a document link will initialize its download. download: Employee Benefits Booklet – V.2026.pdf download: Job Description Research Associate.pdf Apply Now

Clinical Trials Monitor

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About the role We are looking for a Clinical Trials Monitor to join the UKCRC registered Imperial Clinical Trials Unit (ICTU) team, to be responsible for clinical trial monitoring activities for two innovative real-world data randomised controlled trials, including a CTIMP. The COLLABORATE Trial is a UK‑wide adaptive study assessing the effectiveness and safety of commonly used enteral feeds in reducing necrotising enterocolitis, mortality and cognitive impairment in extremely preterm infants. The PATH Trial will evaluate whether personalised antibiotic prescribing can improve survival in hospitalised sepsis patients while addressing antimicrobial resistance. You will work closely with the Trial Managers, site teams, and clinical staff to ensure the trials are conducted in accordance with Good Clinical Practice (GCP) and regulatory requirements. What you would be doing You will be responsible for monitoring activities at investigator sites, including feasibility, initiation, enrolment and follow-up, close-out and archiving, with guidance from the Trial Managers. You will: Conduct on-site and central monitoring to verify source data and ensure compliance. Perform Source Data Verification (SDV) and oversee site performance. Perform Site Initiation Visits (SIVs) and Close-Out Visits (COVs). Prepare monitoring reports and maintain regular site communication. Monitor Investigational Medicinal Product (IMP) accountability. Maintain the Trial Master File (TMF) and distribute Investigator Site Files (ISFs). The role requires travel to investigator sites across the UK, with occasional overnight stays. What we are looking for Science degree or equivalent. Monitoring experience, ideally for CTIMPs. Experience conducting SIVs, monitoring visits, COVs, and performing SDV. Knowledge of ICH-GCP and UK Clinical Trials regulations. Strong communication, organisational skills, and attention to detail. Willingness to travel and work flexibly. What we can offer you An opportunity to develop your skills in clinical trials within novel therapeutic areas. Continue your career at a world-leading institution contributing to science for humanity. Sector-leading salary and remuneration (including 41 days’ annual leave and generous pension schemes). Flexible working from day one, generous family leave, on-site leisure facilities and cycle-to-work scheme. Interest-free season ticket loans. Diverse, inclusive and collaborative work culture with staff networks and wellbeing. Further information The Imperial Clinical Trials Unit (ICTU) is a UKCRC-registered unit committed to excellence in clinical trial design, conduct, and dissemination. We deliver health benefits through high-quality research in a dynamic and supportive environment. Fixed-term, full-time for 18 months with potential to extend subject to funding. If you require further details, please contact: Hanna Box – h.box@imperial.ac.uk. Apply Now

Surviving small: genetic diversity, symbiosis and resilience in orchid populations

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Qualification type: PhD Project start date: 1 October 2026 Location: Kew Gardens, Richmond (London) and Imperial College London, United Kingdom Funding for: UK Students / International Students Funding amount: fees and stipend at UKRI rates (for the academic year 2026-27, the stipend rate is £21,805, plus the £2,000 London allowance). Please note: this funding amount typically increases with inflation each academic year. Research costs, including travel for fieldwork, consumables and molecular sequencing are included. The project is funded by a philanthropic donor. Deadline for application: Sunday 31 May 2026, 12 noon Online Interviews will be held on Friday 19 June 2026 Project Title: Surviving small: genetic diversity, symbiosis and resilience in orchid populations Many plant species are declining as habitats shrink and environmental pressures intensify. A long‑standing principle in conservation biology is that small populations are inherently vulnerable: they lose genetic diversity, become less resilient to change, and face a heightened risk of extinction. Yet some species persist for decades as small, scattered populations, apparently defying this expectation. This project investigates how such persistence is possible, using the woodland orchids of the genus Cephalanthera – the red helleborine (C. rubra), sword‑leaved helleborine (C. longifolia), and white helleborine (C. damasonium) – as a model system. All three species are declining in Britain and survive today in small populations. By combining modern genomic approaches with field surveys of fungi, pollinators and population dynamics across Britain and mainland Europe, the project will identify the mechanisms that allow small populations to survive, and the limits of that resilience. The findings will directly inform conservation strategies for Cephalanthera, and other rare species increasingly forced to persist in small populations as biodiversity loss accelerates. The research will examine three interacting factors that may underpin their resilience: • Life‑history traits such as long lifespan, dormancy, and clonal growth, which may buffer the loss of genetic diversity and create a “genetic extinction debt” where populations appear stable despite underlying vulnerability. • Pollination strategies, ranging from food deception to self‑pollination, which influence reproductive success and genetic diversity. • Dependence on mycorrhizal fungi, essential for orchid germination and growth, and potentially a major constraint on where populations can persist. The studentship  The PhD project will have the following objectives: 1. To estimate genome‑wide genetic diversity and its relationship to population size and fragmented species distribution in several European populations of the three Cephalanthera species; 2. To assess the influence of pollination strategies on population size and distribution; 3. To characterise fungal communities across orchid life stages in selected populations of the three species. The PhD project will offer comprehensive training in molecular biology techniques, conservation genetics, and assessment of symbiotic interactions with fungi and pollinators, preparing the candidate for the successful completion of their PhD, but also for a competitive edge in their future career in academia or industry. Additional opportunities for training are available at RBG Kew and Imperial College London. Collaboration with conservation stakeholders at the science-policy interface will also be possible through the applied components of the project and the international consortia in which the supervisory team is involved. Project supervisors Dr. Roberta Gargiulo, Royal Botanic Gardens, Kew https://www.kew.org/science/our-science/people/roberta-gargiulo Prof. Mike Fay, Royal Botanic Gardens, Kew https://www.kew.org/science/our-science/people/michael-fay Prof. Martin Bidartondo, Imperial College London https://profiles.imperial.ac.uk/m.bidartondo The candidate We are seeking a graduate (BSc or MSc or equivalent) who is driven by curiosity for cross-cutting themes in biology. The ideal candidate will possess basic molecular biology and fieldwork skills. This position is open to UK and international candidates. International candidates will need to be eligible to apply for a UK student visa (https://www.gov.uk/student-visa). Essential skills/attributes • Applicants must hold (or expect to obtain) an Upper Second (2:1) or First Class Honours degree (or equivalent for international applicants) in a biological or related science. Candidates with a Master’s degree in addition to a BSc may be given preference. • Eligibility to travel to other countries within the distribution of the study species. • The project will require the successful candidate to be able to conduct laboratory and field work and computer-based analyses. • Applicants must meet the higher-level English Language requirements at ICL (https://www.imperial.ac.uk/study/apply/english-language/). Desirable skills/attributes • Training will be provided as required, but experience of molecular techniques, bioinformatics, pollination biology and/or mycorrhizal studies will be considered an advantage. •  Full driver’s license. How to apply  Please send CV, personal statement, and contact details of two referees directly to r.gargiulo@kew.org by Sunday 31 May 2026, 12 noon. After the interview, the successful candidate will need to register as a postgraduate student at https://www.imperial.ac.uk/admin-services/ict/self-service/admin-systems/my-imperial/. Terms and conditions The studentship will cover home or international fees and stipend at UKRI rates for a maximum of four years full-time, subject to institutional regulations. Informal Enquiries Informal enquiries about this collaborative project can be sent to r.gargiulo@kew.org

Research Associate in Computational Oncology

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About the role We are seeking a highly motivated Research Associate to join the Computational Oncology Group within the Department of Surgery and Cancer. This post is funded by Brain Tumour Research as part of the prestigious Imperial Brain Tumour Research Centre of Excellence. What you would be doing The successful candidate will contribute to a pioneering translational research programme focused on understanding and analysing data from near‑patient sensing tools in cancer patients. You will play a central role in designing, implementing, and delivering data analysis pipelines required to meet key scientific and funding milestones. This is an exceptional opportunity to work at the intersection of computer science, machine learning, clinical research, and biomedical innovation, collaborating with world-leading researchers in cancer and AI. What we are looking for You will have a PhD in Computer Science or a closely related technical discipline, with strong experience in computational research and data analysis. Essential skills and experience: Expertise in common machine learning tools and software. Experience analysing data from wearable or similar devices. Strong understanding of statistical methods and their implementation in software. Familiarity with data protection and information governance standards. Track record of designing and delivering computational research projects. Excellent written and verbal communication skills. Strong organisational skills and the ability to work independently and as part of a team. A creative, problem-solving mindset and willingness to learn new methods. Flexibility to work outside normal hours when project requirements demand it. Willingness to travel within the UK and abroad to conduct research and attend conferences. What we can offer you The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing. The ability to grow and develop your skills within a translational research group, integrating computational work and patient-facing work. Further information This role is for a fixed-term contract for 24 months with a possibility of an extension. If you require any further details about the role, please contact: Matt Williams, m.williamsmatthew.williams@imperial.ac.uk

Research Associate in Statistical Genetics of Obesity

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We are seeking an outstanding and highly quantitative researcher to join our research group, working at the forefront of statistical genetics and complex trait biology. This position offers the opportunity to lead cutting-edge analyses integrating large-scale canine and human genomic datasets to identify causal mechanisms underlying appetite and obesity. Scientific Context Our programme leverages the unique genetic architecture of domestic dog populations to accelerate gene discovery. These findings are integrated with human genetic data to identify conserved pathways regulating appetite and energy balance. This work is part of a major 5-year ERC-funded award aimed at advancing fundamental understanding of obesity and appetite biology, with the long-term goal of informing improved strategies for prevention and treatment. The Role The successful candidate will take a leading role in statistical genetic analyses across multiple large-scale datasets. This will include: Genome-wide association studies (GWAS) and meta-analysis across canine cohorts; Cross-species integration with human genetic datasets (biobank-scale resources); Fine-mapping and identification of candidate causal variants and genes; Development methods for polygenic prediction and examining trait architecture; Contribution to study design, analytical strategy, and high-impact publications. The role is primarily computational, with opportunities to collaborate closely with experimental colleagues on downstream functional validation. You will be encouraged to take intellectual ownership of projects and to develop independent research directions within the scope of the programme. About You We are looking for a researcher with strong training in statistical genetics, computational genomics, or a related quantitative discipline. You should have a PhD (or be near completion) in statistical genetics, genetics, bioinformatics, or similar and have experience in GWAS or complex trait analysis. Strong programming skills (e.g. Python, R, or equivalent) and experience working with large-scale genomic datasets is essential. Experience in cross-species or comparative genomics and/or familiarity with major human genetic resources (e.g. biobank-scale data) would be desirable. Please see the Further Particulars for more details on the requirements for the role. We are particularly interested in candidates who combine methodological rigour with biological curiosity and a drive to tackle challenging, high-impact problems. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. Salary Ranges: Research Assistant: £33,002 – £34,610; Research Associate: £37,694 – £46,049 Informal enquiries can be made to Dr Eleanor Raffan er311@cam.ac.uk. Candidates interested in part time or flexible working are encouraged to discuss this in advance of application. Fixed Term: the funds for this post are available for 5 years in the first instance. Apply: Click the ‘Apply’ button below to register an account with our recruitment system (if you have not already) and apply online. To apply for this post, please submit a CV, a motivation letter detailing why you want to be part of this project and how this post will be a good stepping-stone for your career. We also need the contact details for two people who can provide a professional reference. Please note that we will assume that you are happy for us to approach your referees at any stage, unless you indicate otherwise in the space provided on the form. The closing date for applications is 25 May 2026. Interviews will be held on 5 June. Please quote reference PM49583 on your application and in any correspondence about this vacancy. The University actively supports equality, diversity and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK. Apply Now

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