skills. Experience delivering complex projects and mentoring others. Desirable Postgraduate qualification (MSc/PhD) in data science, ML, or related subject. Experience with health data standards (HL7, FHIR, SNOMED). Familiarity with NHS datasets and national initiatives. Experience with BI tools such as Power BI, Tableau, or Looker. Research track record with academic or industry partners. Analytical & Judgement More ❯
as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMEDCT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for 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 ❯
