1 to 25 of 165 Experimental Design Jobs in England

neural recording protocols and rigs alongside the hardware team Ensure recordings meet the quality and fidelity standards our models are trained on Behavioural Neuroscience & Experimental Design Design behavioural paradigms that generate rich, well-controlled datasets Plan and oversee data collection sessions, in collaboration with technicians … Iterate on experimental design based on data quality and downstream modelling needs Data Analysis & Computational Modelling Analyse large-scale neural and behavioural datasets Build and apply computational models to characterise neural and behavioural dynamics Validate findings and communicate results clearly to the broader research team Neuroscience ...

outcomes, proofs of concept and transferable technical capability. The role will contribute novel AI methods, research assets, technical reports, publications, invention disclosures and reusable experimental approaches to Thales UK’s internal catalogue of capabilities, accelerating responsible AI adoption across programmes. The role will connect with data, digital, research … translate this into product. Highly advantageous if you’ve supported or led bids/bid requirements. Key Responsibilities and Tasks: Conduct applied and experimental AI research to solve complex customer and business problems across defence, aerospace, cyber security, rail, critical national infrastructure and related domains. Develop state-of ...

behavioral and social sciences, evaluation methodology, and structured bias testing. You'll need strong statistical and probabilistic reasoning: fluency with techniques like uncertainty quantification, experimental design, causal inference and Bayesian modeling. Just as essential is commercial instinct: the judgment to design rigorous, workable methods within … science - not solely academic or research-lab experience. Strong statistical and probabilistic reasoning , with hands-on fluency in confidence intervals, hypothesis testing, power analysis, experimental design, causal inference, and Bayesian modeling. Experience designing evaluation methodologies - including black-box and counterfactual approaches - and the test datasets behind them ...

collaborative, high-performing teams, creating cutting-edge software, platforms, and infrastructure. The Role As an AI Harness Engineer at Valarian, you will own the experimental design, evaluation methodologies, and benchmark infrastructure for our AI models and autonomous agentic workloads. In an emerging domain with no standard playbook … agent scaffolding, prompt design, tool execution loops, context window compaction, retries, and safety guardrails. What we are looking for: Grounding in Statistics & Experimental Design: Demonstrated expertise in hypothesis testing, bootstrapping, power analysis, and statistical significance within probabilistic machine learning systems. LLM-as-a-Judge Validation ...

where scientists and engineers work across traditional discipline boundaries to investigate complex system-level challenges. The successful candidate will contribute directly to modelling activities, experimental investigations, prototype development, and technology evaluation work supporting the evolution of future platform technologies. This opportunity would suit someone who is intellectually curious, scientifically … environment. The Role As Research Scientist, you will contribute to technical investigations into novel device and system technologies for implantable monitoring systems, combining modelling, experimental research, and hands-on laboratory work to evaluate future technology capabilities. Responsibilities are likely to include: Supporting the modelling and simulation of materials, mechanical ...

improve the key metrics. Who you are You hold a degree in mathematics, statistics, machine learning, or computer science. Rigorous with probability and statistics. Experimental design, causal inference. You reach for the right tool, and you know when a result is real. AI-native, ruthless on quality. … production and monitor it. We use Python for ML/AI services and TypeScript around it, on AWS and PostgreSQL. Statistics you can defend. Experimental design, causal inference, measuring the real effect of an action — not just correlations. You know when a result is real, when ...

scalable quantum networking infrastructure in partnership with world‐leading companies and academic groups. About the role We’re looking for a skilled and experienced experimental Physicist, to join us in building our quantum‐network demonstrator — a cornerstone of Nu Quantum’s mission to create scalable, high‐performance quantum networks. … highly cross‐functional, hands‐on role where creative problem‐solving and system‐level thinking are essential. You’ll have the opportunity to shape experimental design, drive technical innovation, and directly contribute to the long‐term vision of making practical quantum networking a reality. If you’re excited ...

some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design and Decision-Making. Positions are available at all stages; we seek to fill most positions now but leave some for future … of following topics are welcome, or strong expertise in one and keen interest in working with expert colleagues on the others: automatic experimental design, Bayesian inference, human-in-the-loop learning, advanced user modelling, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, simulator-based inference ...

hiring researchers to my team working on probabilistic machine learning. Keywords include: Bayesian inference, reinforcement learning and inverse reinforcement learning, automatic experimental design, multi-agent learning, Bayesian deep learning, amortized inference, human-in-the-loop learning, user modelling, collaborative AI, privacy-preserving learning, likelihood-free inference. Different … different but related subsets of these. The work is funded by UKRI Turing AI World-Leading Researcher Fellowship programme, on “Steering AI in Experimental Design and Decision-Making”. The team is based in the new Manchester Centre for AI Fundamentals, which builds on the new ELLIS ...

create environments that support tumour growth, metastasis and treatment resistance. Our research explores the relationship between cancer, ageing, inflammation and tissue regeneration, combining sophisticated experimental models with genomic and multi‐omic approaches to uncover the mechanisms driving disease. About the role We are looking for a talented and motivated … ATAC‐seq, ChIP‐seq, methylome and proteomic data. This is more than a data analysis role. You’ll have the opportunity to influence experimental design, identify interesting patterns and signatures within large datasets and help translate computational findings into new biological hypotheses that can be tested experimentally. ...

create environments that support tumour growth, metastasis and treatment resistance.Our research explores the relationship between cancer, ageing, inflammation and tissue regeneration, combining sophisticated experimental models with genomic and multi-omic approaches to uncover the mechanisms driving disease.**About the role**We are looking for a talented and motivated Bioinformatician … ATAC-seq, ChIP-seq, methylome and proteomic data.This is more than a data analysis role. You’ll have the opportunity to influence experimental design, identify interesting patterns and signatures within large datasets and help translate computational findings into new biological hypotheses that can be tested experimentally.You ...

products is a must Carry out data analyses to yield actionable business insights. Adhere to and advocate for data science procedures (e.g. technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, documentation). Present results to peers and senior management. Actively … statistics and machine learning. Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) Advanced SQL knowledge. Knowledge of experimental design and analysis. Customer-centric and pragmatic attitude. Focus on value delivery and swift execution, while maintaining attention to detail. Strong partner ...

advice and analyses of complex omics, imaging, and clinical datasets, turning data into meaningful biological insights. You’ll play an active role in shaping experimental design, developing innovative analytical approaches, and delivering impactful discoveries. Working within a highly collaborative team, you will also have opportunities to publish … doing You will Provide AI/ML expertise to help Francis Crick scientists achieve their research objectives. Provide expertise to inform on the experimental and analysis design process. Analyse complex biomedical data, using a wide range of biological resources, as well as Agentic ...

experimentation, causal inference and advanced analytics to evaluate product and commercial initiatives. Design and execute robust measurement approaches across randomised experiments, quasi‐experimental methods and observational causal inference where controlled experimentation is impractical. Apply statistical, machine learning and AI techniques to solve complex measurement challenges and generate … 3+ years of industry experience applying experimentation, causal inference, statistical modelling, machine learning or related analytical techniques to solve business problems. Good understanding of experimental design, A/B testing and modern causal inference methods, including quasi‐experimental approaches. Experience applying data science, machine learning ...

summary Autonomous Labs is building the next generation of AI-driven scientific laboratories, with the mission of automating the entire scientific discovery workflow - from experimental design and execution to analysis and iterative learning. Foundation models are a core component of this vision, enabling intelligent, adaptive, and autonomous … source the data needed to move model performance, working closely with domain experts across the laboratory to specify, collect, and curate high-value experimental datasets. Design and maintain scalable experimentation pipelines for model training, evaluation, benchmarking, and reproducible research. Analyse experimental results using rigorous scientific methodologies ...

home day. Responsibilities: Lead and directly contribute to laboratory, phantom, benchtop, and in‐vivo testing of new optical neuromonitoring systems and methods Own defined experimental workstreams from planning and protocol development through execution, analysis, documentation, and communication of results Develop and validate tissue‐mimicking phantoms and experimental setups … experimental evidence is translated into product and technical decisions Provide technical guidance to less experienced team members and help maintain high standards of experimental practice, documentation, and scientific rigour AI is fundamental to our culture — it's not just a tool, but a core part of ...

skills and attention to detail, with the ability to validate data integrity, spot anomalies, and ensure accurate calculation of metrics like LTV. You understand experimental design in product or marketing contexts, including defining success metrics, determining sample sizes, and evaluating statistical significance. You communicate complex analytical findings ...

Private sector clients. We are recruiting for a Senior Data Science Engineer to support our mission. We work at the intersection of strategy, design, and technology to solve complex problems and create lasting value. Our collaborative and agile culture empowers our teams to make a genuine impact. … Natural Language Processing (NLP) to areas such as information retrieval. Proven ability to design, build, and optimise recommender systems. Strong experience in experimental design, including A/B testing and randomised control trials. About The Company Alongside working with some of the most talented people ...

inner error-detection and outer error-correction layers. The Role Working within OQC’s Quantum Science & Exploratory Research team, you’ll combine hands‐on experimental physics, scientific software development and quantum processor characterisation. You’ll take ownership of research and development projects across their full lifecycle—from designing experiments … correction. This role may involve occasional domestic and international travel for scientific conferences and collaborative research programmes. What You’ll Be Working On Develop experimental measurement methods to characterise quantum error‐correction components and subroutines. Bring up, calibrate and evaluate novel research devices, often operating prototype hardware in unconventional ...

Science team Hybrid 80% homeworking and 20% from Stratford Upon Avon About the role As a Data Scientist at NFU Mutual, you'll design, develop and deploy advanced analytical, machine learning and AI solutions to solve complex business problems. Working across customer, claims, strategy and underwriting domains … experience with a commitment to develop your Python capability, plus complex data analysis and data quality assurance Strong knowledge of statistical methods and experimental design, with experience designing, building and implementing machine learning solutions, particularly predictive models Experience with modern business intelligence platforms such as Power ...

recommendations. Expertise in interrogating data using SQL and writing custom SQL queries, and understanding of database structures. Understanding of statistical analysis techniques used for experimental design such as regression analysis, hypothesis testing, multivariate analysis and time series analysis. Experience using AI tools in your ...

performance of future quantum processing units. The Role You’ll be a senior member of our Quantum Science & Exploratory Research team, combining hands‐on experimental research with technical leadership, project ownership and mentoring. Working across superconducting quantum circuits, processor characterisation, calibration, benchmarking and cryogenic measurement systems, you’ll investigate … qubit design, packaging and quantum‐processing infrastructure. You’ll also help shape the QSER roadmap, coordinate the resources required to deliver experimental programmes and support the development of Quantum Engineers across the team. What You’ll Be Working On Lead complex scientific research projects from initial concept ...

MTSR), Areteia Therapeutics, and Corsera Health—we’re building the future of population health. As a Staff Data Scientist, you’ll lead the design and execution of advanced analytics, statistical modeling, and machine learning across Onsera’s platform, leveraging complex healthcare data—claims, clinical records, and real-world … record of independently leading applied research initiatives from conception to production deployment, with measurable business impact. Deep expertise in statistical modeling, classical ML approaches, experimental design, and emerging AI/ML methodologies. Expert‐level Python proficiency with extensive experience using scientific and ML libraries (e.g., pandas, scikit ...

next great innovations that Optimizely should invest in. Job Responsibilities Product and Feature Development Collaborate with product managers and engineering teams to design and implement new statistical and machine learning features across Optimizely’s product suite. Conduct rigorous testing and validation of new statistical methods and ensure seamless … both technical and non-technical audiences to promote understanding of experimentation best practices. Represent Optimizely at conferences and industry events, showcasing expertise in experimental design and statistical analysis. Customer Engagement and Support Conduct customer calls to explain how statistical accuracy is maintained across Optimizely’s experimentation products. ...

cell chemistry, cell manufacturing processes and battery performance characterisation. Experience of manufacturing traceability, genealogy and process capability analysis. Exposure to Six Sigma, Design of Experiments (DOE), Statistical Process Control (SPC) or robust engineering methods. Experience using Siemens Insights Hub, Siemens Xcelerator, Databricks, Power BI or equivalent industrial analytics ...