Principal Data Scientist, Real World Evidence

€61,800.00 - €106,260.00

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.

*This is for informative purposes only. Amounts and actual benefits may vary by location and are subject to change.

• A Ph.D. degree, or master's degree in a quantitative field (e.g., computational biology, Bioinformatics, biostatistics, Data Science, similar)
• Experience in multi-omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancy
• Relevant experience (PhD with 2+ years experience) within biopharma companies, RWE consulting firms performing contextualization, subtyping and treatment patterns analysis integrating RWE, - Omics data and/or other data modalities
  • Hand-on bioinformatics experience running and interpreting results in a biological/disease context, including pathway or functional enrichment analysis.
  • 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
  • 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

• • Deep neuroscience domain expertise: in-depth knowledge of neurodegenerative, neuropsychiatric and ophthalmic diseases, clinical development, and trial design challenges
    • Hands-on experience with graph neural networks and related graph ML methods for learning across large, heterogeneous, multi-domain graphs.

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

Johnson & Johnson Innovative Medicine R&D Data Science and Digital Health are recruiting for a Principal Data Scientist, Real World Evidence (RWE).

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.

Data Analytics & Computational Sciences

Data Science

• 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

Barcelona, Spain, Madrid, Spain

Madrid and Barcelona are the considered locations. Hybrid work model.

Scientific/Technology