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# Principal Data Scientist, Real World Evidence

- **Company:** Johnson U0026 Johnson
- **Location:** Barcelona, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Artificial Neural Networks, Bioinformatics, Information Engineering, Python (Programming Language), Machine Learning, SPARQL, Deep Learning
- **Published:** September 9, 2026
- **Apply:** https://www.buscojobs.com.es/principal-data-scientist-real-world-evidence-en-barcelona-ID-369223484

## About the Role

relevant roles, * Experience designing and executing studies using real-world healthcare data (claims, EHRs, registries) * Hands-on data engineering and data analysis experience * Proven track record delivering high-impact data science projects * Expert proficiency in R or Python; knowledge of SPARQL and Cypher * Excellent interpersonal, communication, and presentation skills * Experience delivering predictive modeling, machine learning/deep learning, or forecasting * Familiarity with drug discovery and clinical development in oncology, immunology, neuroscience, or ophthalmology * Hands-on experience with graph neural networks and graph ML methods * Bioinformatics experience in a biological/disease context with pathway or enrichment analysis Requisitos principales * annual bonus * vacation days * parental leave (min 12 weeks) * bereavement leave * caregiver leave * well-being reimbursement

## Description

Experteer Overview In this role you will lead Real-World Evidence studies to support Ju****amp;J Innovative Medicine's clinical programs.You will work with cross-functional partners to develop an evidence portfolio from real-world data, shaping insights that inform regulatory submissions and patient outcomes.You'll apply advanced analytics to RWD, design studies end-to-end, and translate complex methods for diverse audiences.This position offers the opportunity to influence neuroscience-focused development within a leading healthcare innovator.Compensaciones / Beneficios * Develop and manage a portfolio of RWE projects leveraging real-world data to inform pipeline assets * Incorporate emerging scientific and technological advances to generate new research ideas using real-world data * Lead end-to-end RWE studies: research questions, data feasibility, study design, analysis, programming, and interpretation * Analyze data to support urgent stakeholder requests and ensure timely delivery * Ensure rigorous design, execution, and publication quality of RWE studies and related models/tools * Create study protocols, statistical analysis plans, and statistical programming deliverables * Convey highly technical methods and results clearly to diverse audiences to drive decision-making * Align RWE generation with regulatory requirements and scientific standards Responsabilidades * Ph.D. or Master's in a quantitative field (e.g., biostatistics, AI Data Science, Bioinformatics) with 2+ years (Ph.D.) or 4+ years (Master's) in relevant roles * Experience designing and executing studies using real-world healthcare data (claims, EHRs, registries) * Hands-on data engineering and data analysis experience * Proven track record delivering high-impact data science projects * Expert proficiency in R or Python; knowledge of SPARQL and Cypher * Excellent interpersonal, communication, and presentation skills * Experience delivering predictive modeling, machine learning/deep learning, or forecasting * Familiarity with drug discovery and clinical development in oncology, immunology, neuroscience, or ophthalmology * Hands-on experience with graph neural networks and graph ML methods * Bioinformatics experience in a biological/disease context with pathway or enrichment analysis Requisitos principales * annual bonus * vacation days * parental leave (min 12 weeks) * bereavement leave * caregiver leave * well-being reimbursement


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