Job Function Data Analytics & Computational SciencesJob Sub Function Data Science Job Category Scientific/Technology 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. 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.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 Required 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 Analysis Preferred 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 Analysis Benefits 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.

📌 Data Scientist (hybrid) (Madrid)
🏢 Johnson u0026 Johnson
📍 Madrid