Senior Clinical Data Scientist

About the Company\n\nData Scientist - Data and analytics - SENIOR\n\nAbout the Role\n\nExecute exploratory and confirmatory analyses on clinical trial and real-world datasets to inform clinical strategy and trial design.\n\nResponsibilities\n\nDesign and implement complex data analysis plans and translate analyses into clear, actionable recommendations for clinical and product stakeholders.\nRapidly prototype Minimum Viable Products (MVPs) and analytical workflows using agile practices and DevOps principles to iterate with users.\nDefine cohorts, design subpopulation analyses, and perform robust quality assurance on outcomes and derived datasets.\nEnsure clinical concepts are correctly represented and harmonized across data models (CDISC SDTM/ADaM, OMOP, HL7); contribute to mapping and transformation logic.\nProduce reproducible code and well-documented workflows in Python, R and SQL; collaborate with engineering to operationalize analyses on Databricks or similar platforms.\nPresent findings and recommendations to stakeholders with clarity, tailoring communications to varying levels of data literacy.\n\nQualifications\n\n3–5 years of hands-on experience working with clinical trial and/or real-world clinical datasets (EHRs, registries, claims).\n\nRequired Skills\n\nStrong applied experience in data analysis, and reporting using Python, R and SQL; production-ready, reproducible and documented code.\nExperience with Statistical Modeling, Machine Learning and Deep Learning.\nFamiliarity with clinical data standards and transformations: CDISC (SDTM, ADaM), OMOP, and HL7.\nExperience with data standards mapping, CDISC implementations, or clinical trial design/operations.\nExperience with GitHub and Databricks or similar enterprise data platforms for scalable analytics and collaboration.\nDemonstrable experience defining cohorts, performing subpopulation/stratified analyses, and establishing QA checks for analytical outputs.\nConfortable working with imperfect, heterogeneous clinical data and pragmatic about delivering timely, high-quality insights.\n\nPay range and compensation package\n\n[Pay range or salary or compensation]\n\nEqual Opportunity Statement\n\n[Include a statement on commitment to diversity and inclusivity.]