6 of 6 Electronic Patient Records Jobs in Cambridge

night, weekend and bank holiday shifts, distributed as equally as possible with the priority being covering the service). This role is not patient facing and may require some lone working. About us Our Trust Cambridge University Hospitals (CUH) NHS Foundation Trust comprises Addenbrooke's Hospital … skill and dedication of the people who work here. CUH's values - Together - Safe, Kind, Excellent - are at the heart of patient care, defining the way all staff work and behave. The Trust provides accessible high-quality healthcare for the local people of Cambridge, together with specialist ...

Europe's largest centre of health science and medical research, we are fostering cross-industry partnerships, innovation and research to improve patient outcomes. Our recently refreshed five-year strategy is supported by the large-scale change team, which works with clinical, operational and corporate leaders … digital components. This role offers the opportunity to lead strategically significant, multi-year transformation, combining digital innovation and care-model redesign to improve patient care, access, productivity and efficiency across CUH and partner organisations. Main duties of the job Lead the design, mobilisation and delivery ...

role involves driving strategies for healthcare data analytics, supporting studies, and overseeing projects across healthcare settings. The ideal candidate will have strong expertise in EMR, health IT, and data analytics, alongside a PhD in the relevant field. A competitive salary and flexible benefits are offered. #J-18808-Ljbffr ...

Clinical AI team, we focus on one of the most data-rich and decision-intensive parts of that journey: clinical development. Trial design, patient selection, dose optimisation, biomarker strategy, and safety evaluation each represent genuine opportunities where AI and machine learning can add rigour, speed, and precision … more fields of biology, with hands‐on experience working with biological data such as molecular (DNA, RNA, protein), imaging (radiology, microscopy), or clinical text (EHR, clinical notes). Deep expertise in modern AI methodologies, including one or more of: foundation model training and fine‐tuning; Bayesian inference; temporal and longitudinal ...

theClinical AI team, we focus on one of the most data-rich and decision-intensive parts of that journey: clinical development. Trial design, patient selection, doseoptimisation, biomarker strategy, and safety evaluation each represent genuine opportunities where AI and machine learning can addrigour, speed, and precision … more fields of biology, with hands-on experience working with biological data such as molecular (DNA, RNA, protein), imaging (radiology, microscopy), or clinical text (EHR, clinical notes). Deepexpertisein modern AI methodologies, including one or more of: foundation model training and fine-tuning; Bayesian inference; temporal and longitudinal modelling; multimodal ...

other advanced degree in life sciences with post doctoral or other training / work in Medical Informatics or related field Expertise in EMR / Health IT, disease registries, and claims databases Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data … outcome modelling Strong track record in delivering leading edge informatics solutions in pharmaceutical R&D and commercial environments Desireable skills A history of patient care or equivalent background of working at a patient care setting that allows the candidate to bring medical perspective ...