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# Principal Data Scientist, Real World Evidence

- **Company:** Johnson U0026 Johnson
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Data Analysis, Artificial Neural Networks, Information Engineering, Python (Programming Language), SPARQL
- **Published:** July 27, 2026
- **Apply:** https://www.buscojobs.com.es/principal-data-scientist-real-world-evidence-en-madrid-ID-365182654

## About the Role

This role offers the opportunity to push methodological boundaries and impact patient outcomes at scale.Compensaciones / BeneficiosDevelop and manage a portfolio of RWE projects leveraging real-world data (RWD) and related sourcesIncorporate cutting?edge scientific and technological advances to propose new ideas and initiativesLead end?to?end RWE studies: research questions, data feasibility, design, analysis, programming, interpretationAnalyze data to support urgent stakeholder requests and provide actionable insightsEnsure quality in design, execution, and publication of RWE studies, and validate models/toolsCreate study protocols and statistical analysis plans; deliverables include statistical programming outputsCommunicate complex methods and results clearly to diverse audiences to enable decisionsAlign RWE generation with regulatory standards and scientific expectationsResponsabilidadesPhD in a quantitative field or Master's (2+ years post?PhD or 4+ years for Master) in biopharma,
RWE consulting, or healthcareExperience designing and executing studies using real?world healthcare data (claims, EHR, registries)Hands?on data engineering and data analysis experienceProven track record delivering high?impact data science projectsProficiency in R or Python, SPARQL, CypherExcellent interpersonal, communication, and presentation skillsExperience with predictive analytics (ML/DL/forecasting)Familiarity with drug discovery and clinical development processes in oncology, immunology, neuroscience, or ophthalmologyHands?on experience with graph neural networks and graph ML methods; bioinformatics exposure with pathway/enrichment analysesRequisitos principalesannual bonusvacation daysparental leave (min 12 weeks)bereavement leavewell?being reimbursementinsurance plansPrincipal Data Scientist, Real World Evidence * Madrid, ES #J-*****-Ljbffr

## Description

Experteer Overview As Principal Data Scientist, Real World Evidence, you will lead RWE projects that illuminate the clinical and regulatory value of Ju****amp;J Innovative Medicine assets.You will collaborate with multidisciplinary teams to generate evidence from real-world data and support oncology, immunology, neuroscience, and related programs.Your work will shape study designs, analyses, and insights that inform development decisions and submissions.This role offers the opportunity to push methodological boundaries and impact patient outcomes at scale.Compensaciones / BeneficiosDevelop and manage a portfolio of RWE projects leveraging real-world data (RWD) and related sourcesIncorporate cutting?edge scientific and technological advances to propose new ideas and initiativesLead end?to?end RWE studies: research questions, data feasibility, design, analysis, programming, interpretationAnalyze data to support urgent stakeholder requests and provide actionable insightsEnsure quality in design, execution, and publication of RWE studies, and validate models/toolsCreate study protocols and statistical analysis plans; deliverables include statistical programming outputsCommunicate complex methods and results clearly to diverse audiences to enable decisionsAlign RWE generation with regulatory standards and scientific expectationsResponsabilidadesPhD in a quantitative field or Master's (2+ years post?PhD or 4+ years for Master) in biopharma, RWE consulting, or healthcareExperience designing and executing studies using real?world healthcare data (claims, EHR, registries)Hands?on data engineering and data analysis experienceProven track record delivering high?impact data science projectsProficiency in R or Python, SPARQL, CypherExcellent interpersonal, communication, and presentation skillsExperience with predictive analytics (ML/DL/forecasting)Familiarity with drug discovery and clinical development processes in oncology, immunology, neuroscience, or ophthalmologyHands?on experience with graph neural networks and graph ML methods; bioinformatics exposure with pathway/enrichment analysesRequisitos principalesannual bonusvacation daysparental leave (min 12 weeks)bereavement leavewell?being reimbursementinsurance plansPrincipal Data Scientist, Real World Evidence * Madrid, ES #J-*****-Ljbffr


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