Principal Data Scientist, Real World Evidence

Johnson & Johnson

Principal Data Scientist for Real World Evidence at Johnson & Johnson Innovating medicine through data science for better patient outcomes and enhanced clinical development.

Posted 7/11/2026full-timeMadrid • 🇪🇸 SpainLead💰 €61,800 - €106,260 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 aligned with regulatory requirements and scientific standards

Requirements

What you’ll need

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 relevant 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 on high impact data science projects
Expert proficiency in either R or Python, SPARQL, Cypher
Excellent interpersonal, communication, and presentation skills
Experience delivering on Data Science projects using predictive technologies as machine learning/deep learning, or forecasting
Familiarity with and exposure to drug discovery and clinical development processes with one or more of the following therapeutic areas: 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.
Hand-on bioinformatics experience running and interpreting results in a biological/disease context, including pathway or functional enrichment analysis.

Benefits

Comp & perks

an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees’ and companies’ performance of the previous calendar year, or sales commissions.
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
employees - and in some location’s eligible dependents - can participate in several insurance plans.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Real-World Evidence (RWE) Study DesignData AnalysisStatistical ProgrammingMachine LearningDeep LearningGraph Neural NetworksBioinformaticsPathway AnalysisStatistical Analysis PlansProgramming Deliverables

Soft Skills

Interpersonal SkillsCommunication SkillsPresentation Skills