30 oct
|
Johnson & Johnson
|
Madrid
30 oct
Johnson & Johnson
Madrid
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.
Data Analytics & Computational Sciences
Data Science
Johnson & Johnson Innovative Medicine R&D; DDSAI are recruiting for a Senior Manager, Decision Scientist.
Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology.
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.
Global Development needs more than trusted data.
Teams need reusable intelligence that connects data to decisions, makes assumptions and trade-offs visible, and can be consumed by both people and AI-enabled solutions.
The Senior Manager, Decision Scientist will define and operationalize analytical enrichment, decision context and business logic within General Development data products.
Instead, it will translate business needs into reusable intelligence requirements, work with AI & Data Science when models are needed, and partner with JJT (IT) to bring approved intelligence capabilities into secure, scalable production use.
Work directly with Global Development leaders and subject-matter experts to clarify the decision, its context, users, timing and desired outcome.
Translate business questions into reusable intelligence requirements, metrics, decision rules, assumptions, constraints and acceptance criteria.
Identify where trusted metrics can answer the question and where model-based capabilities from AI & Data Science are needed.
Define reusable descriptive, predictive and prescriptive intelligence capabilities for inclusion in GD data products.
Define quality thresholds,
decision fitness and monitoring requirements for intelligence capabilities.
Turn recurring requests into reusable data-product capabilities.
Partner with Data Products to represent and govern decision knowledge consistently.
Define the business context, decision logic, test scenarios and human-review requirements for AI assistants and agents.
Partner with AI & Data Science on methods and JJT (IT) on production implementation.
Provide intelligence specifications, business rules, quality standards, test cases and acceptance criteria.
Support build, testing and release, while JJT (IT) leads production engineering, deployment and operations.
Define and track reuse, adoption, decision quality and business impact.
Bachelor's or Master's degree in a relevant data, technology or life-sciences discipline; PhD welcome.
6+ years' relevant experience in pharmaceutical or biotechnology R&D;, clinical development, analytics, decision science or data products.
Knowledge of Global Development processes and decisions across study planning and execution.
Strong analytical reasoning and ability to distinguish business logic and decision frameworks from model development.
Familiarity with data products, semantics, knowledge graphs, ontologies, provenance or AI-ready data is preferred.
By turning recurring Global Development questions into reusable intelligence, this role will improve decision consistency and transparency, reduce duplication and extend the value of AI-ready data products.
Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Cross-Functional Collaboration, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking, Team Management
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.
📌 Senior Decision Scientist Lead (Madrid)
🏢 Johnson & Johnson
📍 Madrid