Principal Data Scientist, Real World Evidence

• 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

• 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., * 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 relevancy
• Experience integrating multi-modal data for holistic disease understanding and patient subtyping

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Required Skills:

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

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 actual amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions. Moreover, we 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. We also offer service anniversary and recognition awards, and subject to the terms of their respective plans, employees - and in some location's eligible dependents - can participate in several insurance plans. For more information, visit Employee benefits | Supporting well-being & career growth | Johnson & Johnson Careers. (https://www.careers.jnj.com/en/life-at-jj/employee-benefits/)

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com (https://www.jnj.com.) . As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit., Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health are recruiting for a Principal Data Scientist, Real World Evidence (RWE) . Madrid and Barcelona are the considered locations. Hybrid work model. J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. 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. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ 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.