Leads strategic sourcing and evaluation of early-stage innovation in haematology, from preclinical to Phase 1 assets. Drives due diligence, shapes partnering strategies, and executes transactions in collaboration with Business Development. Embedded in the Therapeutic Area Leadership Team to influence portfolio planning and external innovation priorities.
Lead the development and governance of processes, standards, and SOPs for CSL's global Portfolio Development function, ensuring high-quality clinical program execution. Drive cross-functional process improvement initiatives, change management, and training curriculum development. Collaborate with leadership and stakeholders across R&D to streamline decision-making and enhance operational excellence in a dynamic biotech environment.
This role involves installing, servicing, repairing, and calibrating advanced medical diagnostic systems in NHS and clinical laboratories. The engineer will work on complex laboratory equipment, including flow cytometry and cell separation devices, providing technical support directly at customer sites. The position requires strong field service skills in electro-mechanical systems and a commitment to high-level customer service in sensitive healthcare environments.
Field Service Engineer, Medical Diagnostic SystemsOverall Earnings £60,000+Basic Salary Up To £52,000OvertimeOn Call Allowance10% BonusCompany Car (Electric Or Hybrid)PensionHealthcareLife InsurancePhone, LaptopHolidays** The role will involve working one weekend in four (during this week you will receive two alternative days off...
A Principal Scientist in Oncology Data Science will lead computational biology efforts to model cancer as a dynamic, evolving disease by integrating multi-omics (bulk, single-cell, spatial) and clinical data. The role involves developing advanced models to understand disease trajectories, treatment response, and resistance, working closely with experimental and clinical teams to generate actionable insights for drug discovery. The scientist will also develop interpretable computational frameworks and communicate findings across interdisciplinary teams.
This role involves developing, validating, and executing ligand-binding and cell-based assays to support mRNA medicine development. The candidate will generate pharmacodynamic and immunogenicity data in a regulated GcLP environment, manage critical reagent characterization, and contribute to clinical sample testing using Watson LIMS. The position emphasizes scientific rigor, regulatory compliance, and collaboration within a high-performance team advancing novel bioanalytical assays.
Lead the development and validation of molecular assays including RT-qPCR, dPCR, and NGS for clinical biomarker programs across Moderna's therapeutic pipeline. Drive end-to-end assay lifecycle management, ensure regulatory compliance with GCLP standards, and collaborate with cross-functional teams to deliver high-quality genomic data. Mentor scientists and integrate advanced analytics and AI-enabled tools to accelerate discovery and translational research.
This role involves leading and delivering high-impact biomarker and mechanism-of-action research to support clinical translation. Responsibilities include developing computational pipelines, interpreting complex datasets, and mentoring junior scientists. The position offers strong growth potential and the chance to shape scientific direction.
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.
Process clinical samples and conduct immune assays for respiratory viruses including influenza, RSV, and coronaviruses within a translational research team. Work alongside post-doctoral scientists using techniques such as ELISA, neutralisation assays, ELISpot, flow cytometry, and virus culture to study human respiratory immunity and support vaccine development.
This role involves developing metabolic engineering and synthetic biology strategies to optimise plant respiratory activity, energy status, and redox balance. Work is conducted in plant cell cultures and whole plants using iterative design–build–test–learn cycles, with translation from lab to real-world applications supported by multi-omics phenotyping and cross-disciplinary collaboration. The scientist will drive IP generation and contribute to commercialising innovations in sustainable agriculture and plant-based production.
This role involves designing and prototyping generative machine learning models for protein design, with a focus on real-world biological functionality. The scientist will build scalable data pipelines, optimize model performance, and collaborate closely with biologists to test predictions in wet lab environments. A strong research background and passion for interdisciplinary innovation are essential.
This role involves leading the development of innovative metabolic engineering and synthetic biology approaches to optimize plant respiratory activity, energy status, and redox balance. The scientist will design and implement engineering strategies, conduct experiments in plant cell cultures and whole plants, and collaborate with multidisciplinary teams to translate research into real-world solutions.
A Senior Scientist in Synthetic Chemistry will lead the optimisation of synthetic routes for small molecules used in novel sensor technologies, focusing on scalability and yield improvement. The role involves hands-on laboratory work, data analysis, and contribution to blue-sky research within a fast-growing startup environment. Work is conducted under QMS/GLP standards with a strong emphasis on innovation in healthcare applications.
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.
