At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal.

Job Function: Data Analytics &

• Computational SciencesJob Sub Function: Data ScienceJob Category:Johnson &

• Johnson Innovative Medicine R&D; Data Science and Digital Health are recruiting for a Principal Data Scientist, Real World Evidence (RWE).Hybrid work model.We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson &

• Johnson Innovative Medicine visit R&D; Data, Data Science &

• AI, Real-World Evidence (RWE) team at J&J; Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources including RWD, trial data and emerging innovative data sources, to support our clinical programs and regulatory submissions.

The Principal Data

Scientist will collaborate closely with strategic partners in R&D; Data, Data Science & AI, as well as multidisciplinary teams within J&J; Innovative Medicine, to develop and implement evidence and insights to improve patient outcomes and enhance clinical development in Neuroscience.Contribute to the development of a portfolio of RWE projects based on RWD that will provide key insights to our pipeline assetsLeverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world dataEnd-to-end experience in RWE studies including conceptualizing the research questions, data feasibility,



study design, analysis, programming, and interpretationAnalyze and interpret data to support urgent requests from internal and external stakeholdersEnsure quality of design, execution, and publication of real-world evidence studies, and quality of models & toolsCreate study protocols, statistical analysis plans, and statistical programming deliverablesClearly articulate highly technical methods and results to diverse audiences and partners to drive decision-makingEnsure RWE generation aligned with regulatory requirements and scientific standardsRequired Qualifications:A Ph.D. degree, or master’s degree in a quantitative field (e.g., biostatistics, AI Data Science, Bioinformatics, similar)Relevant experience (2+ years for Ph.4+ years for a master’s) within biopharma companies, RWE consulting firms, or other relevant healthcare industriesExperience designing and executing studies using real-world healthcare data, such as claims, electronic health records (EHRs), or registriesExtensive hands-on experience with data engineering and data analysisProven track record of consistently delivering on high impact data science projectsExpert proficiency in either R or Python, SPARQL, CypherExcellent interpersonal, communication, and presentation skillsExperience delivering on Data Science projects using predictive technologies as machine learning/deep learning,



or forecastingFamiliarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: oncology, immunology, neuroscience, or specialty ophthalmologyHands-on experience with graph neural networks and related graph ML methods for learning across large, heterogeneous, multi-domain graphs.Hand-on bioinformatics experience running and interpreting results in a biological/disease context, including pathway or functional enrichment analysis.Preferred Qualifications:Deep neuroscience domain expertise: in-depth knowledge of neurodegenerative, neuropsychiatric and ophthalmic diseases, clinical development, and trial design challengesExperience in multi-omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancyExperience integrating multi-modal data for holistic disease understanding and patient subtyping#JRDDS#JNJDataScience#JRDRequired Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow AnalysisThe anticipated base pay range for this position is:61,800.00 - 106,260.00Benefits:In addition to base pay, we offer the following benefits*: an annual bonus with set target (% of pay) depending on pay grade / location, where the presente amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Barcelona, SpainType: Full time

📌 Data Analysis Expert (Barcelona)
🏢 Johnson u0026 Johnson
📍 Barcelona