Principal Data Scientist

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., * 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.

• 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., * 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., * 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

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