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.
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 developing, qualifying, and validating molecular bioanalytical assays—such as qPCR, ddPCR, and RT-qPCR—to support clinical pharmacokinetic and pharmacodynamic studies within a GCLp-compliant environment. The scientist will work closely with cross-functional teams to ensure robust data generation, maintain regulatory compliance, and integrate emerging digital and automation technologies into workflows. A strong focus on reagent management, assay documentation, and continuous process improvement is central to the position.
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 developing, optimizing, and validating molecular bioanalytical assays—such as qPCR, ddPCR, and RNA isolation—to support mRNA-based clinical programs. The scientist will work within GCL0-compliant (GCLP) frameworks to generate pharmacokinetic and pharmacodynamic data, ensuring regulatory compliance and data integrity. Collaboration with cross-functional teams and adoption of digital tools and automation are key to advancing clinical trial execution and analytical processes.
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.
Develop high-throughput Python workflows to extract geometric, topological, and structural descriptors from coarse-grained molecular dynamics simulations of protein assemblies. Translate simulation data into design rules for hollow inorganic fibres, integrating computational analysis with experimental validation across an interdisciplinary team.
The Clinical Development Medical Director is responsible for providing medical and scientific oversight for clinical trials, ensuring patient safety, and contributing to the design and execution of clinical studies. They will also participate in safety reviews, interact with healthcare professionals, and support regulatory activities.
The Clinical Development Medical Director is responsible for providing medical and scientific oversight for clinical trials, ensuring patient safety, and contributing to the design and execution of clinical studies. They will also participate in safety reviews, interact with healthcare professionals, and support regulatory activities.
This role leads the design and delivery of transformation-ready vectors and genome editing reagents for crop improvement programs, focusing on molecular construct development for gene editing and transgenic approaches in species like corn and wheat. The position establishes industrial-grade design standards, ensures technical robustness and regulatory alignment, and integrates with high-throughput transformation pipelines. It involves close collaboration with genotyping, automation, and commercial teams to enable scalable, traceable, and auditable vector development from concept to release.
This role leads the molecular confirmation and genotyping of gene-edited and transgenic crop events, ensuring high-quality, data-rich handover to downstream teams. The candidate will establish stage-gate criteria, manage genotyping workflows across multiple technologies, and integrate with transformation, bioinformatics, and trait discovery teams. The position is central to building a scalable, industrial-grade pipeline for crop development in species such as corn and wheat.
This role involves conducting advanced bioinformatics research in the field of human tissue immunology, specifically focusing on inflammatory arthritis. You will work within a multidisciplinary team to identify new disease pathways and collaborate with specialists in the ARCADIA network.
This role leads the statistical strategy for clinical development programs, overseeing study design, data analysis, and regulatory submissions. The individual will guide biostatistical input across trials, interact with regulatory authorities, and ensure accurate reporting of results. Collaboration with cross-functional teams and oversight of internal or outsourced programming efforts are key aspects of the position.
This role involves providing strategic statistical leadership for Health Technology Assessment, pricing, and reimbursement activities. The candidate will work with cross-functional teams to ensure HTA evidence is scientifically rigorous and aligned with payer requirements. Responsibilities include implementing HTA methods, contributing to evidence synthesis, and mentoring biostatisticians.
