This role involves using ultra-long-read and hybrid sequencing technologies to explore highly repetitive DNA sequences in childhood cancer. You will develop laboratory protocols, produce sequencing data, and perform bioinformatic analysis with support from biostatisticians.
This postdoctoral position involves leading the preparation and analysis of skeletal muscle samples for proteomic and transcriptomic workflows, focusing on the 'dark proteome' in facioscapulohumeral muscular dystrophy (FSHD). The role combines technical leadership with broader involvement in translational research, collaborating with international partners.
The role involves leading projects to develop and benchmark AI models for predicting biological processes using genomic, multi-omic, and phenotypic data. The researcher will also contribute to statistical analysis, hypothesis testing, and preparing grant applications.
Lead DMPK strategy for drug discovery projects using an AI-first approach, integrating quantitative pharmacology and ADME data to guide candidate selection. Collaborate with chemistry, pharmacology, and machine learning teams to optimise molecule design and advance predictive models. Contribute to regulatory documentation and drive innovation in human PK prediction and biotransformation understanding.
This role involves leading toxicology strategy in drug discovery with an AI-first approach, designing safety assessment frameworks, and guiding the development of predictive AI models for toxicity. The candidate will work across small molecules and biologics, collaborate with machine learning teams, oversee outsourced wet-lab studies via CROs, and mentor junior scientists. A key focus is reducing reliance on animal testing through innovative, data-driven toxicology solutions.
This role involves leading the development and maintenance of the PSIPRED Workbench, enhancing the reliability and performance of existing ML workflows, and working on a new web interface for the IntegraTED resource. The position also includes working on the TED data generation pipeline and potentially exploring novel ML applications in bioinformatics.
This role involves establishing and running iPSC-derived kidney and ureteric bud organoid models, using CRISPR interference to perturb candidate cis-regulatory elements, and profiling the consequences using advanced techniques like single-nucleus multiomics and CUT&RUN. You will work collaboratively with bioinformaticians and clinicians to generate and test hypotheses, and have opportunities for advanced training and independent research.
This role involves leading computational evolutionary genomic analyses to study the spread of antimicrobial resistance in *Streptococcus suis* using large-scale genomic datasets spanning multiple countries and decades. The researcher will investigate how AMR genes are transferred between bacterial lineages, integrating genomics with evolutionary biology and quantitative methods. The position is part of a Wellcome-funded interdisciplinary programme at UCL focused on microbial evolution and public health.
This role involves leading research into the immunological and thrombo-inflammatory mechanisms underlying Takotsubo cardiomyopathy, a stress-induced 'broken heart syndrome'. The postholder will work within a translational team to define immune responses across patient recovery stages and investigate microcirculatory pro-thrombotic states. Collaboration with immunology, thrombosis, bioinformatics, and clinical experts is central to uncovering the disease's pathophysiology.
This role involves owning the full post-training lifecycle for biological foundation models, from alignment to production deployment. Responsibilities include designing and implementing pipelines, building validation frameworks, and collaborating with ML and biology teams to ensure models are scientifically meaningful and aligned with real-world drug discovery problems.
This role involves managing and analysing a large collection of over 60,000 Neisseria gonorrhoeae genomes to study antimicrobial resistance, vaccine antigen diversity, and pathogen evolution. The postholder will develop and apply bioinformatics workflows for genome annotation, conduct population genomic analyses, and contribute to research dissemination through publications and presentations. Work will be conducted within a multidisciplinary team at the University of Oxford, with opportunities to support teaching and mentoring activities.
This role involves supporting proteomics research through sample preparation, operation of LC-MS/MS instrumentation, and analysis of proteomics data using statistical tools. The postholder will contribute to both laboratory workflows and data interpretation, maintaining quality control and supporting collaborative research projects across academic and clinical domains. Key responsibilities include managing sample tracking, generating reports, and helping develop targeted and untargeted mass spectrometry methods within a high-throughput, team-oriented environment.
This role involves leading and developing high-performing scientific and operational teams, defining and delivering strategic objectives, driving innovation through emerging technologies, and ensuring compliance with industry regulations. The position also includes managing departmental budgets, contributing to business planning, and building strong relationships with external stakeholders.
The role involves designing, building, and validating programmable nucleic-acid systems for genetic privacy. The postholder will work on developing molecular systems that can measure genetic information while limiting exposure of the underlying genomic sequence, engaging in iterative experimental and computational work.
This role involves researching the emergence of a multidrug-resistant fungal pathogen, Trichophyton indotineae, at the intersection of genomics, antimicrobial resistance, and molecular diagnostics. You will work in a multidisciplinary team to develop new diagnostic tools and contribute to clinical and public health efforts in East London.
