1 to 25 of 89 Experimental Design Jobs in the UK

consistently drives change from the front of the pack. Amazon is seeking a detail oriented Research Scientist to focus on simulation to assist with process improvement and facility design initiatives in our North American fulfillment network. Successful candidates will be natural self-starters who have the drive to design, model, and simulate new fulfillment center conception … and design processes. The Research Scientist will be expected to deeply investigate complex problems and drive relentlessly towards innovative solutions. This role requires collaboration with cross-functional teams to develop and integrate advanced computer vision technologies that detect operational anomalies in real-time, improve equipment reliability, and enhance process efficiency. Key responsibilities include applying computer vision, data modeling … years of work experience. - Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects. - Hypothesis testing (including statistical hypothesis testing) and experimental design. - Experience with unstructured textual data - Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences Amazon More ❯

other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: To excel as … independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical … of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and More ❯

or completed Masters and/or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency More ❯

or completed Masters and/or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimental design, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. #INDUKBIO Job Types: Full-time More ❯

at Pear Bio. Job Responsibilities Develop and implement machine learning and statistical models for target discovery, drug development and patient response prediction. Collaborate with wet-lab scientists to design experiments and analyze results to inform target and drug discovery efforts. Integrate and analyze multi-omic datasets (genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. … Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design and develop interactive dashboards and visualization tools to support data-driven decision-making. Work on single-cell resolution data from high-throughput imaging pipelines to identify biomarkers and therapeutic targets. Present findings in internal meetings and contribute to scientific publications and conferences. Stay More ❯

/ML Python Engineer at JPMorgan Chase within the Client Onboarding and KYC Engineering team, your responsibilities will include probing intricate business problems and employing sophisticated algorithms to design, evaluate, and implement AI/ML applications or models to resolve these issues. You will be required to leverage the company's extensive data assets from both internal and … tools like Python, Spark, and AWS. Additionally, your role will encompass extracting business insights from technical results and effectively communicating them to a non-technical audience. Job Responsibilities Design and architect end to end solutions in AI domain, from Pattern matching, Chatbot implementation, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks … the model risk function, and other groups. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience. Experience in statistical inference and experimental design (such as probability, linear algebra, calculus). Data wrangling: understanding complex datasets, cleaning, reshaping, and joining messy datasets using Python. Practical expertise and work experience with More ❯

Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate predictive modeling problems and business constraints into robust Bayesian or probabilistic AI solutions. Design and implement reusable libraries of predictive features and probabilistic representations for diverse ML tasks. Build and optimize tools for scalable probabilistic inference under memory, latency, and compute constraints. Apply … modern AI use cases. Collaborate closely with product, engineering, and business teams to build end-to-end modeling solutions. Conduct deep-dive statistical and machine learning analyses, simulations, and experimental design. Stay current with emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong experience in Bayesian inference and probabilistic modeling : PGMs, HMMs, GPs More ❯

e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) Experience with version control (GitHub) ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision Ability to write production code and object-oriented programming More ❯

it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus performance-based More ❯

it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus performance-based More ❯

in-office work. Discover more about our company wide benefits and life at GSK on our webpage Life at GSK GSK In this role you will Lead the design, development, and deployment of advanced AI/ML models across the R&D domain (drug discovery, genomics, clinical trials, and more). Translate complex scientific and business problems into … and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face). Experience building and deploying models in cloud environments (e.g. Azure, GCP). Solid understanding of statistics, optimization, and experimental design. Preferred Qualifications & Skills: Please note the following skills are not necessary, just preferred, if you do not have them, please still apply: Prior experience in pharmaceutical R&D More ❯

related applications using our innovative technologies. The Details Reporting to the Director of the RNA/cDNA Sample Technology division, the successful candidate will undertake a role that involves experimental design, offline assays, library preparation and RNA/cDNA sequencing to develop and deliver sample preparation kits and protocols, and to provide data and feedback to bioinformatic …/or viral genomics is essential. Experience in RNA-related biopharma methodologies or GMP is also desirable. The role also requires 2-3 years of prior managerial experience overseeing experimental work of junior team members. We encourage the successful candidate to liaise with senior management while maintaining oversight of key research projects within the team. Duties of the role … include (but are not limited to): experimental design and implementation of testing improvements for RNA/cDNA sequencing protocols and kits, including techniques for direct RNA and cDNA sequencing methodologies. Other responsibilities include (but are not limited to): Working on own projects as well as assisting new and junior team members with lab work and basic bioinformatics More ❯

related applications using our innovative technologies. The Details Reporting to the Director of the RNA/cDNA Sample Technology division, the successful candidate will undertake a role that involves experimental design, offline assays, library preparation and RNA/cDNA sequencing to develop and deliver sample preparation kits and protocols, and to provide data and feedback to bioinformatic …/or viral genomics is essential. Experience in RNA-related biopharma methodologies or GMP is also desirable. The role also requires 2-3 years of prior managerial experience overseeing experimental work of junior team members. We encourage the successful candidate to liaise with senior management while maintaining oversight of key research projects within the team. Duties of the role … include (but are not limited to): experimental design and implementation of testing improvements for RNA/cDNA sequencing protocols and kits, including techniques for direct RNA and cDNA sequencing methodologies. Other responsibilities include (but are not limited to): Working on own projects as well as assisting new and junior team members with lab work and basic bioinformatics More ❯

interface with qubits. This role is a unique chance to work at the bleeding edge of technology development where you will investigate and optimise the performance of innovative circuitsand experimental quantum dot devicesto tackle the engineering challenge of implementing a large-scale quantum computer in silicon. This is a rare and exciting opportunity to be an early employee at … will suit someone with a strong background in the following areas and the ability to flexibly apply and combine them on a daily basis: practical electronics test and measurement, experimental design, statistics and data analysis, analogue and mixed-signal circuit operation principles, and CMOS device physics and process. No background in quantum physics is required. Our Team … integrated circuit designs through full product test lifecycle: pre-silicon test planning; bring-up and optimisation; inter-die variability studies; and product support (where required) High-quality documentation of experimental design, measurement data, analysis, and conclusions at each step Develop efficient and automated measurement and analysis routines to provide rapid and standardised feedback on new ICdesigns, driving More ❯

technologies. In this role, the Lead Scientist will represent bioinformatics in cross-functional programs: defining bioinformatics milestones and requirements supporting data analysis developing novel tools and pipelines contributing to experimental design and project strategy In addition to strong bioinformatics and programming skills, this position requires a high degree of initiative and cross-team collaboration, as well as … such as Nextflow, WDL, as well as familiarity with containerization tools, such as Docker, and similar technologies. Responsibilities: Participate in R&D projects across multiple sites for the design, development and validation of new sequencing products Represent bioinformatics in a product development team, and be able to establish work priorities and communicate/delegate tasks to other sub … development of automated quality assessment pipelines Contribute to the planning and execution of a comprehensive strategy for assessing quality of data from novel technologies Analyze, integrate, model and interpret experimental data Support and troubleshoot existing processes and provide guidance on potential enhancements Communicate and collaborate with scientific, bioinformatics, engineering, and software teams across multiple sites to design More ❯

will be responsible for driving world class manufacturing automation solutions to scale our operations globally. This will involve innovating automation solutions for assembly processes, explore cutting edge technologies, design equipment and fixtures in 3D CAD. Key job responsibilities - Develop advanced simulations and data analyses to optimize automation system configuration options to meet end-to-end system goals, integrating … is a unique opportunity to be involved in a wide range of automation projects right from the start. You will interface with multiple internal Amazon R&D and design teams as well as the world's leading automation strategic partners who have the technology and resources to meet Amazon's growth needs on a global scale. You will … controls engineering experience - - Experience with complex machine learning models of physical systems, commissioning of industrial control software - Proficiency with machine and process reliability, integration of human and automated processes, experimental design, statistical analysis - Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build More ❯

will be responsible for driving world class manufacturing automation solutions to scale our operations globally. This will involve innovating automation solutions for assembly processes, explore cutting edge technologies, design equipment and fixtures in 3D CAD. Key job responsibilities - Develop advanced simulations and data analyses to optimize automation system configuration options to meet end-to-end system goals, integrating … is a unique opportunity to be involved in a wide range of automation projects right from the start. You will interface with multiple internal Amazon R&D and design teams as well as the world's leading automation strategic partners who have the technology and resources to meet Amazon's growth needs on a global scale. You will … controls engineering experience - - Experience with complex machine learning models of physical systems, commissioning of industrial control software - Proficiency with machine and process reliability, integration of human and automated processes, experimental design, statistical analysis - Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build More ❯

drug discovery, target discovery and nucleic acid therapy development. You will apply a wide range of data science and machine learning techniques - including life science foundation models, generative design, uncertainty-aware decision making, and multi-modal data analysis. Responsibilities Perform data integration, mining, and analytics across chemical, biological, and multi-omics datasets to support target identification, hit discovery … and compound optimisation. Design and develop robust machine learning models. Collaborate with platform engineers to integrate ML … models into production-grade pipelines, APIs and cloud-based services. Building high-quality, well-tested and maintainable code Provide analytical and statistical rigour to empower better decision making during experimental design. Act as a subject expert to leverage data driven science working collaboratively with chemists, biologists, platform engineers, cheminformaticians, computational biologists, and data scientists. What we are looking for More ❯

of AI supported by new hardware and develop your skills in that area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and More ❯

of AI supported by new hardware and develop your skills in that area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, design experiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and More ❯

version control systems (e.g., Git). Familiarity with CI/CD tools and practices. Strong problem-solving and analytical skills. Understanding of data structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular … microservices. Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models for performance and accuracy. Understanding of statistical analysis and experimental design. Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI More ❯

version control systems (e.g., Git). • Familiarity with CI/CD tools and practices. • Strong problem-solving and analytical skills. • Understanding of data structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular … microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI More ❯

role of technology and AI in health and healthcare, but also appreciate the challenges and risks of delivering effective solutions in a complex and safety critical space. By design we will remain a lean founding team (albeit within a much larger org), and as such you will need to be highly self-sufficient, and be able to span … accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities MTS-AI's work across the full AI modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in … pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement learning/direct preference optimization, data curation, and classic machine learning principles. Required/Minimum Qualifications Bachelor's Degree in More ❯

skills Experience or understanding of Financial Services Experience in a highly quantitative role, ideally as a data scientist at a growth or research organization Deep expertise in statistical analysis, experimental design, and causal inference Proficiency in Python, orchestration frameworks, SQL and other analytical tools More ❯

reagents and associated methodologies, while working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development, assay design, data … generation and troubleshooting. Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders. Design, develop, and verify designs for a wide range of molecular biology reagents, including PCR, isothermal amplification, and Next Generation Sequencing applications. Establish and disseminate technical … activities. Hands-on experience in designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS) Experience in protein chemistry (protein design, expression, purification) Demonstrated expertise in protein characterization (biochemical and/or functional) Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry etc. used with commercial enzymes More ❯