7 of 7 Experimental Design Jobs in the South West

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 ❯

infrastructure at a scale to support a growing business. The position requires a candidate who is comfortable translating and connecting the business context to the technical and analytical design & execution. The successful candidate will be passionate about solving the most critical business problems through data and advanced analytics and must be self-motivated, detail-oriented, with strong independent … and organize large and complex datasets from various sources. Perform analysis to identify patterns, correlations, and trends within datasets. Translate insights to actionable recommendations aligned with business objectives. Design business intelligence and analytics tools to track business performance across marketing, sales, and retail organizations. Model Development and Optimization Build advanced analytics to extract key strategic insights (product, customer … effective, insightful, and interactive dashboards in Tableau or PowerBI Ability to use core analytics methods in developing solutions (one or more of the following) Statistics (t-tests, ANOVA) & design of experiments Segmentation/clustering techniques Time series analysis Familiarity with a broad base of analytics tools (one or more of the following): Data Management: SQL and Alteryx BI More ❯

contribute directly to our mission of advancing sustainable solutions for coatings and packaging. Tasks involve: Lead the development and integration of optimisation models to guide formulation and material design experiments Build … data pipelines and analytical models to extract insights from lab data and improve the speed and quality of performance optimisation. Work with materials scientists to design efficient experimental plans (active learning, DoE) Build and manage our internal data science workflows and tooling Communicate insights clearly to technical and non-technical stakeholders Stay current with relevant literature 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 ❯

and biomarker discovery. You will create robust data pipelines, curate benchmarking datasets, and develop models that combine multi omics information with existing context in Enchant. An understanding of causal experimental design and the interactions among diverse molecular modalities is essential. This position is remote, with a preference for candidates in Bristol. KEY RESPONSIBILITIES Identify, prioritize, and acquire … Stay current with advances in machine learning and computational biology; prototype promising ideas and share findings with the team. Mentor colleagues in best practices for data engineering, modeling, and experimental design. REQUIRED QUALIFICATIONS PhD (or equivalent experience) in machine learning, computational biology, bioinformatics, computer science, or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep … in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. Solid grasp of causal inference, experimental design, and statistics. Familiarity with software engineering best practices, version control, code review, and continuous integration. PREFERRED QUALIFICATIONS Experience working in cloud or HPC environments and with More ❯

and 300mm wafer fabs. The candidate will be responsible for driving continuous improvement in product and ET/PCM yield, and supporting new process development/introduction, and design rule and test structure development for new technologies. Key tasks Responsible for developing/qualifying technology process flows and process integrations to enable meeting the product requirements for performance … reliability, and defect free manufacturing. Ensure methods and processes in place to test the devices and structures being developed. Support new designs with module characterization and design rule development. Develop and improve yield characterization and data analysis methodologies to rapidly determine yield limiters, correlation to in-line defectivity and metrology, and electrical parametric signals. Liaise with Quality Engineers … to resolve customers’ technical & yield concerns and meet the requirements. Run Design of experiments to optimize process margins and determine process & Electrical test specifications. Experience of leading engineer team, developing and delivering technology for mass production. Lead Process FMEA and Transfer FMEA. Collaborate with PDK and Design Teams on Design rule check/Design More ❯

join our team, focusing on Electric Vehicle (EV) Propulsion Integration. The ideal candidate will have extensive experience in EV propulsion integration engineering, PiL/ViL test experience in design validation, and a strong foundation in engineering principles. This role is critical for ensuring the seamless integration and validation of EV propulsion systems within our vehicles. Key Responsibilities: EV … with cross-functional teams to optimize propulsion system integration. PiL/ViL Test Experience : · Conduct Processor-in-the-Loop (PiL) and Vehicle-in-the-Loop (ViL) tests for design validation. · Analyze test results to ensure compliance … with design specifications and performance standards. Design of Experiments (DOE) and Execution: · Develop and execute DOEs to optimize system performance and reliability. · Interpret and analyze experimental data to drive design improvements. Vehicle DV Planning & Execution: · Create and manage Design Verification (DV) plans for vehicle systems. · Execute DV tests and document results More ❯