9 of 9 Remote/Hybrid Data Analysis Jobs in Cambridge

documentation transfer, production readiness, and coordination across time zones. Join our client to work in a dynamic R&D environment that combines hardware, software, data, manufacturing, and connected-device expertise, while leading mission-critical testing platforms that directly influence product quality and operational excellence. This is a great opportunity … embedded, mechanical, operations, manufacturing engineering, quality, and external subcontractors. Provide Tier 2 and technical-lead support for production ATE systems, including troubleshooting, calibration, failure analysis, reliability improvement, and yield optimization. Analyze test and manufacturing data to identify trends, root causes, yield improvements, and opportunities for process optimization. Collaborate ...

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing … products for your end users. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. ...

scientific discipline. You combine strong analytical problem-solving skills with excellent communication abilities and enjoy working collaboratively across cross-functional teams. Your expertise includes data analysis, data visualisation, and the application of computational methods to genomics research. Experience with Python or R, ideally both, is essential, while ...

looking for a Principal Staff Scientist (computational) to provide analytical leadership in Artificial Intelligence/Machine Learning (AI/ML) and genomic data analysis across the Human Genetics Programme. About the Programme: The Human Genetics Programme brings together large-scale human cohorts, deep molecular profiling and linked patient … real‐world clinical settings, collect repeat samples from relevant tissues, and link these to rich outcomes data. Across these cohorts we generate multiomic data at scale, using broadly deployable assays such as serum proteomics, metabolomics and transcriptomics, alongside whole‐genome sequencing. Faculty groups in the Programme work together ...

Overview: We are looking for an EDA Optimisation Engineer to support the data-driven optimisation, analysis and maintenance of Arm’s engineering platforms. This role will work as part of a team effort to improve system utilisation/efficiency/cost-performance and touch on forecasting accuracy … infrastructure strategy. Working within the Productivity Engineering group, there will be a focus on metrics, automation, data-engineering and problem-solving where applicable to efficiency topics, in a metrics-first/data-driven-decisions environment. We expect this work to drive scalability and vendor strategy across HPC compute ...

station duplication/wiring/testing/Validation/Change & update/Support) Lead the product during the NPI and legacy products. Leads failure analysis and reliability testing on all critical aspects of product design Support local and worldwide production floors Published effectively report results to peers and management … connected (smart) products Experience of working in complex multidisciplinary projects that requires a high level of technical know-how Experience with manufacturing databases, production data pipelines, and engineering data analysis tools. Experience working with subcontractors, external vendors, CMO production teams, and procurement processes for tester or prototype ...

feed-back into the software and hardware development teams. You will produce technical summaries for a range of audiences, based on detailed analysis and interpretation of data. You will learn about this new frontier and share this knowledge with others across the company. Education & Qualifications University degree (or equivalent … Linux or Android based devices, development boards, or pre/post-silicon environments. Experience using or developing automation harnesses for repeatable workload execution, data collection, profiling, and analysis. Strong scripting and data-analysis skills, for example Python, shell scripting, or similar tools. Experience with profiling tools, performance ...

manufacturing partners on package assembly and process development Support new product introduction (NPI) and manufacturing readiness activities Drive yield improvement and root‐cause analysis for assembly‐related issues Coordinate reliability testing, qualification, and failure analysis activities Collaborate with design, test, and product engineering teams to optimise manufacturability Create … assembly, packaging, or manufacturing engineering Understanding of semiconductor packaging and assembly processes Familiarity with OSATs and outsourced semiconductor manufacturing Experience with yield improvement, failure analysis, and process optimisation Desirable Experience with RF or mixed‐signal semiconductor products Knowledge of reliability and qualification processes Familiarity with manufacturing data analysis ...

work in a unique structure-rich environment, with access to over 19,000 proprietary protein–ligand X-ray and Cryo-EM structures and associated data, and to collaborate closely with biologists, structural biologists, and medicinal chemists. There will also be opportunities to collaborate with our in-house software development … tools. Drive structure-based drug design activities from hit identification through to lead optimization, ensuring alignment with project schedules. Interpret crystallographic and cryo-EM data and support structure determination. Analyze protein-ligand structures and guide medicinal chemistry through binding mode hypotheses, SAR interpretation, and design of novel analogs. Apply ...