modelling, with experience in NoSQL and Graph databases. Experience with containerisation (Docker, Kubernetes/EKS). Knowledge of healthcare data standards such as CDISC, HL7, FHIR, SNOMEDCT, OMOP, and DICOM. Familiarity with big data technologies, MLOps, and model deployment. Bachelor's degree in a relevant field (Master's preferred) and 5-7 years' experience in data More ❯
database technologies (e.g. NoSQL, Graph). Familiarity with containerisation (e.g. Docker, Kubernetes/EKS) and Agile working environments. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMEDCT, OMOP, DICOM) and relevant regulatory requirements. A Bachelor's degree in Computer Science, Statistics, Mathematics, Life Sciences, or related fields (Master's preferred). 3-5 years' experience in More ❯
non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries) Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts Skilled in handling and cleaning messy, multimodal data More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Cubiq Recruitment
non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries) Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts Skilled in handling and cleaning messy, multimodal data More ❯
london, south east england, united kingdom Hybrid / WFH Options
Cubiq Recruitment
non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries) Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts Skilled in handling and cleaning messy, multimodal data More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Cubiq Recruitment
non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries) Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts Skilled in handling and cleaning messy, multimodal data More ❯
slough, south east england, united kingdom Hybrid / WFH Options
Cubiq Recruitment
non-negotiable) Experience delivering end-to-end observational studies using real-world datasets Proficient in study design, regulatory writing (protocols, SAPs, TFLs, CSRs) Knowledge of coding systems (ICD, SNOMED, GPI, HCPCS) and RWD sources (claims, EHR, registries) Familiar with regulatory trends around pragmatic trials, external control arms, and synthetic cohorts Skilled in handling and cleaning messy, multimodal data More ❯
working with UK healthcare bodies such as DHSC, NHS England, UKHSA, NHSBSA, devolved nations, ICSs and clinical research bodies. Deep understanding of healthcare data, interoperability (e.g. FHIR, HL7, SNOMED), and the use of data and AI to improve public health and clinical outcomes. Experience in designing or delivering secure data environments (SDEs) or similar research-oriented data platforms. More ❯
This is an exciting role within our practice to join us as a Clinical Coding & Workflow Administrator within our IT and Coding Department. To be responsible for the SNOMED coding of relevant information into patients' electronic healthcare records on the clinical system, in an accurate, timely, safe and efficient manner. In addition, the post holder will be a More ❯
