3 of 3 Experimental Design Jobs in Bristol

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 ❯