Principal Data Scientist, Real World Evidence
Hybrid - Barcelona, Cataluña, Spain · Madrid, Community of Madrid, Spain
At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Data Analytics & Computational Sciences
Data Science
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. The 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 assets
Leverage emerging scientific and technological developments to generate new research ideas, solutions and initiatives using real-world data
End-to-end experience in RWE studies including conceptualizing the research questions, data feasibility, study design, analysis, programming, and interpretation
Analyze and interpret data to support urgent requests from internal and external stakeholders
Ensure quality of design, execution,



and publication of real-world evidence studies, and quality of models & tools
Create study protocols, statistical analysis plans, and statistical programming deliverables
D. degree, or master’s degree in a quantitative field (e.g., biostatistics, AI Data Science, Bioinformatics, similar)
Experience designing and executing studies using real-world healthcare data, such as claims, electronic health records (EHRs), or registries
Extensive hands-on experience with data engineering and data analysis
Proven track record of consistently delivering on high impact data science projects
Expert proficiency in either R or Python, SPARQL, Cypher
Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting
Hands-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.
Experience in multi-omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancy
Experience integrating multi-modal data for holistic disease understanding and patient subtyping
#LI-Hybrid
#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 Analysis
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 vigente amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions. Company type Privately held
Location Hybrid - Barcelona, Cataluña, Spain · Madrid, Community of Madrid, Spain
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📌 Data Scientist in Machine Learning (Barcelona)
🏢 Johnson & Johnson Innovative Medicine
📍 Barcelona