Remote Electronic Patient Records Jobs in the City of London

4 of 4 Remote Electronic Patient Records Jobs in the City of London

Senior Pharmacoepidemiologist – RWE & Data Science

City of London, London, United Kingdom
Hybrid / WFH Options
Cubiq Recruitment
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 Confident using methods such as propensity score matching More ❯
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Senior Pharmacoepidemiologist – RWE & Data Science

london (city of london), south east england, united kingdom
Hybrid / WFH Options
Cubiq Recruitment
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 Confident using methods such as propensity score matching More ❯
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Data Platform Engineer

City of London, London, United Kingdom
Hybrid / WFH Options
Rise Technical Recruitment Limited
Experience in a data-focused SRE, Data Platform, or DevOps role *Strong knowledge of Apache Flink, Kafka, and Python in production environments *Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.) *Comfortable with monitoring tools, distributed systems debugging, and incident response Reference Number: BBBH259303 To apply for this role or for to be considered for further roles More ❯
Employment Type: Permanent, Work From Home
Salary: £90,000
Posted:

Senior Statistical Programmer

City, London, United Kingdom
Hybrid / WFH Options
Park Street People
be successful. As a Senior Statistical Programmer, you will work on real world data to deliver high quality analyses that support evidence-based decisions in drug development and patient care. Key Responsibilities Develop and validate complex analysis datasets from large and diverse data sources Perform statistical analyses and create reports for observational studies using Databricks and SAS … and SQL programming skills (knowledge of R or Python is also welcomed) Understanding of statistical and epidemiological methods is desirable Experience handling observational or biomedical research data; knowledge of EHR databases such as CPRD or OMOP Common Data Model is advantageous Excellent attention to detail, communication skills and the ability to collaborate effectively in a team Park Street People Ltd More ❯
Employment Type: Temporary
Salary: GBP 31 Hourly
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