12 Experimental Design Jobs in the UK with Remote Work Options

including single-cell RNA-seq data, spatial transcriptomics data, bulk RNA-seq data to evaluate effects of gene perturbation on cell models Involvement in experimental design & modelling of deep phenotyping or omics data in close collaboration with wet-lab scientists. Work as a member of cross-functional … culture Qualifications & Experience Required PhD in Computational Biology/Computer Science/Machine Learning/Statistics with relevant experience in transcriptomics analysis. Experience with experimental design, exploratory data analysis, reporting and visualisation of data. Experience with single cell transcriptomics analysis including data QC, data integration, cell type more »

contact and a role model for advanced modelling within the company. Maintain strong domain knowledge of leading ‘omics' and ‘big data’ computational methods Drive experimental design & modelling of deep phenotyping and/or omics data in close collaboration with wet-lab scientists. Work as a member of … distinct advantage) Strong experience in developing and modifying statistical (and ML) models of ‘omics datasets for biological interpretation and actionable insights Strong experience with experimental design, exploratory data analysis, reporting and visualisation of data. Experience in leading projects involving multiple stakeholders, end-to-end. Desirable Experience in more »

virtual screening projects, eg assessing structure or ligand binding to identify novel hits and assist with progressing programmes through the company's portfolio Support experimental design with colleagues in other departments Develop and then implement computational chemistry strategies Assess, optimise and add new software into the company …/CRO company or similar, preferably as a project leader Deep hands-on expertise of applying both structure-based and ligand-based drug design approaches to discovery projects Experience with computational chemistry techniques such as conformational analysis, free energy calculations, homology modelling, etc Good programming skills in a more »

virtual screening projects, eg assessing structure or ligand binding to identify novel hits and assist with progressing programmes through the company's portfolio Support experimental design with colleagues in other departments Develop and then implement computational chemistry strategies Assess, optimise and add new software into the company …/CRO company or similar, preferably as a project leader Deep hands-on expertise of applying both structure-based and ligand-based drug design approaches to discovery projects Experience with computational chemistry techniques such as conformational analysis, free energy calculations, homology modelling, etc Good programming skills in a more »

a combination of open-source and cloud tools, driving innovation and delivering actionable insights. Collaborate with business stakeholders to identify data-driven opportunities, design experiments, and develop predictive models. Identify opportunities for innovation through analytics, influencing business stakeholders, and shaping them into viable candidates aligned with strategic objectives. … like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks. Strong problem-solving skills and the ability to translate business challenges into data science solutions. Excellent more »

for leading the development and implementation of sophisticated analytical models and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in … of open-source and Azure cloud tools, driving innovation, and delivering actionable insights. Collaborate with business stakeholders to identify data-driven opportunities, and design experiments and analytical approaches to address specific challenges. Identify opportunities for innovation through analytics in the business of Allianz, and influence business stakeholders in … Azure Synapse Analytics, etc., is a plus. Understanding of Knowledge Graphs and LLM's is advantageous. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Strong problem-solving skills and the ability to translate business challenges more »

Knowledge of supplied product supply chain and suppliers process/equipment. Six Sigma trained as Green Belt and knowledge of improvement tools e.g. Design of Experiments, FMEA, Cause and Effect analysis and other process investigational techniques. Commercial awareness of impact of supplier related issues and personal actions/ more »

Air Ingress across the full vehicle, systems and components. Operating from the very early phase of a vehicle programme, working cross functionally throughout design, development, manufacturing, launch and during the customer experience. This role will aim to enhance the customer experience through the design, development, measurement … on problem resolutions for Vehicle Line activities in all aspects of engineering from the resolution of engineering issues, monitoring quality systems, through to design improvements and model year updates. The aim will be to achieve targets in all areas. Ultimately, the role will contribute to the delivery of … Quality targets for each vehicle line Skills Required: Previous experience of problem solving tools e.g. Root Cause Analysis, 8 Disciplines of problem solving, Design of Experiments and Failure Modes and Effects Analysis (FMEA) in Design/Manufacturing Previous experience of Vehicle Launch or Plant Vehicle operations more »

creation during development phase, escalating issues in a timely manner and providing independent confirmation the product performs as specified or required. • Influence product design at the early stage of the Product Development process by being the ‘voice’ of the consumer to ensure product meets the quality promise at … work scheduling, activities and resources, including working with contractor provider for additional resource, timesheets and overtime, as required. • Develop robust testing protocols and design of experiments by evaluating risks against consumers’ key quality attributes. Ensure that the test protocol simulates market and environmental conditions to actively reflect how … build networks Proactively recommend and/or take actions to solve technical issues or improve ways of working Statistical software knowledge and application Design of experiment experience would be an asset Computer literacy (Microsoft Office and statistical software advantageous) The ability to build great peer relationships The skill more »

initial customer engagements, requirements capture, scoping (both the architecture and project timeline), architecture & micro architecture definition and then leading the implementation team through design execution and validation in both simulation and hardware verification/validation. In addition to IP/Product development, the role involves elements of outbound … planning (6G scoping and next generation silicon) and research projects. Responsibilities: ▪ Leads a team of systems and solutions engineers responsible for the overall design and development of integrated end-to-end hardware and full-stack software systems for FPGA solutions in the wireless product segment. ▪ Directs activities related … for FPGAs Architecture Definition and FPGA Architecture Knowledge Customer Engagement, Consulting, and Support Digital Signal Processing Hardware Architecture, Hardware Systems and Subsystems Platform Design Product Development Lifecycle, Product Roadmap & Product Strategy Project Management System Architecture and Microarchitecture Systems Integration, Systems Thinking, Systems Validation Preferred Qualifications: 3GPP Standards – Modulation more »

your dog to the office! The job at a glance Join our team and youll be responsible for driving projects to improve the design of existing AI systems (classical ML & LLMs) on AWS and build new solutions. Your team will provide building blocks to train, evaluate, and serve … to make it work for everybody. Your responsibilities: Enable the AI Labs team and closely cooperate with data, infrastructure, and platform teams to design and deploy ML-based services using AWS Sagemaker. Understand current AI products, identify new opportunities, and drive their implementation. Design experiments & deployment more »

delivery of high-quality, scalable AI systems. Key Responsibilities: Lead the AI Labs team and collaborate with data, infrastructure, and platform teams to design and deploy ML-based services using AWS Sagemaker. Understand the current AI products, identify new opportunities, and drive their implementation. Design experiments more »