7 of 7 Remote Data Management Jobs in Oxford

you will work hand-in-hand with internal and external research and development teams to design high impact pre-clinical, pivotal, and post-market research projects, oversee completion of data collection, and lead the analysis and dissemination of scientific communications. You will play a key role throughout the product lifecycle, collaborating with AI Scientists, Software Engineers, Product Teams, Marketing … the development, evaluation, and integration of novel diagnostic and prognostic tools into the clinical workflow. Your Responsibilities Lead in the development of research and development protocols, including literature reviews, data selection mechanisms, data management plans, and statistical analysis plans. Contribute to product design and subsequent market authorisation validation, including clinical and research design input Artificial Intelligence and … Computer Vision (AICV) process. Contribute to statistical analysis of clinical and imaging data for diagnostic and prognostic research. Contribute to scientific communication to internal and external audiences, including company presentations, cross-departmental presentations, conference presentations, and scientific manuscripts. Support market access and business development activities to develop and refine clinical and business use cases, including return on investment and More ❯

Membership Engagement Executive to help us make membership matter. You'll support the Membership Engagement Lead and wider team with core admin, member communications and events. From onboarding and data management to supporting member queries and team operations, this role is essential to maintaining a high-quality membership experience. You'll be highly organised, people-focused and comfortable … and processes About You: Excellent communicator with strong interpersonal and writing skills Confident using Microsoft Office and digital tools (e.g., Teams, community platforms, webinars) Proven track record of accurate data management and reporting Able to prioritise, multi-task and stay organised in a busy environment Comfortable working independently and as part of a cross-functional team Nice to More ❯

help guide customers through validation queries. Assisting with general inbound phone cover to help with customer support. Skills & Experience: Previous experience in a customer service environment Working knowledge of data management and data analysis Demonstrable experience of process improvement Proven track record of working to deadlines and targets Customer contact through inbound and high volume of outbound … ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: roberthalf.com/gb/en/privacy-notice. More ❯

capabilities. The Role You will join a collaborative Research and Development team based in Oxford, contributing to the development and maintenance of a modern ML operations stack. This includes data acquisition pipelines, data management, and machine learning model training infrastructure. The environment includes both self-managed on premise systems and cloud-based infrastructure, primarily using AWS. You More ❯

the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS More ❯

to support delivery of a focused but ambitious programme of works.Focussed initially on research computing, the role will in time likely contribute more widely to development of administrative platforms, data and analytics capabilities, research data management and more.For the right individual, this varied and stimulating role offers the opportunity to contribute directly to our world-leading position More ❯

You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems, and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops More ❯