Principal Data Scientist, Real World Evidence (RWE) Our R&D; Data, Data Science & AI, Real-World Evidence team at Johnson & Johnson Innovative Medicine is looking for a Principal Data Scientist to develop and implement evidence solutions using real-world data. This role collaborates with strategic partners in R&D; Data, Data Science & AI, and multidisciplinary teams to support clinical programs and regulatory submissions.

Locations: Madrid, Spain and Barcelona, Spain. Hybrid work model.

Key Responsibilities 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.

Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision‑making. Ensure RWE generation is aligned with regulatory requirements and scientific standards.

Required 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.D.,



4+ years for a master’s) within biopharma companies, RWE consulting firms, or other healthcare industries.

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 high‑impact data science projects. Expert proficiency in either R or Python, SPARQL, Cypher. Excellent interpersonal, communication and presentation skills.

Experience delivering data science projects using predictive technologies such as machine learning/deep learning or forecasting. Familiarity with and exposure to drug discovery and clinical development processes in oncology, immunology, neuroscience, or specialty ophthalmology. Hands‑on experience with graph neural networks and related graph ML methods for learning across large, heterogeneous, multi‑domain graphs.

Hands‑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 challenges.

Experience in multi‑omics including designing and interpreting large‑scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevance.

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 Salary The anticipated base pay range for this position is: €61,800.00 - €106,260.00.

Benefits In addition to base pay, we offer an annual bonus with a set target (% of pay) based on the employee’s and company’s performance of the previous calendar year, or sales commissions. We also offer vacation days, parental leave for a minimum of 12 weeks, bereavement leave, caregiver leave, volunteer leave, well‑being reimbursement, programs for financial, physical and mental health, service anniversary and recognition awards. Eligible employees and certain dependents may participate in several insurance plans.

📌 Data Analysis Expert (Madrid)
🏢 7300-Janssen-Cilag S.A. Legal Entity
📍 Madrid