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.
Job Function
Data Analytics & Computational Sciences
Job Sub Function
Data Science
Job Category
Scientific/Technology
All Job Posting Locations
Cornellà de Llobregat, Barcelona, Spain, Madrid, Spain
Job Description
We are recruiting for a Product Manager, Principal Data Scientist within the Johnson & Johnson Innovative Medicine R&D Data Science organization. The primary location for this position is Madrid with consideration for applicants in Barcelona. Johnson & Johnson Innovative Medicine develops treatments that improve the health and lifestyles of people worldwide. Research and Development areas encompass Oncology, Immunology, Neuroscience, Cardiopulmonary and Specialty Ophthalmology. Our ultimate 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, one of the Pharmaceutical Companies of Johnson & Johnson, visit www.jnj.com/innovative-medicine.
In This Role, You Will
Partner closely with members of the Johnson & Johnson Innovative Medicine R&D data science organization and other business teams to understand the organization's business needs and translate them into functional digital solutions. You will be responsible for the delivery of engaging and innovative digital products to embed data and analytics into the decision‑making process. You will partner with teams across R&D such as Data Science, J&J Technology, Clinical Operations, the Therapeutic Areas, and Strategy & Portfolio to deliver innovative solutions for study teams' most impactful questions.
* Apply design thinking methods to engage with users, integrating their feedback into innovative solutions.
* Build journey maps, storyboards, and wireframes/prototypes to bring clarity and alignment. Document business processes to serve as a reference for development.
* Develop use cases, write, manage, and clarify JIRA user stories and process flows that drive product development.
* Shape and communicate product roadmap, priorities, and design rationale to business partners, developers, and testers.
Qualifications
Education
A minimum of a Bachelor's degree is required, preferably with a major in Data Science, Life Sciences, or related field.
Required
Experience and Skills:
* Knowledge and understanding of Pharma R&D, portfolio/pipeline management, and Clinical Trial Operations.
* Experience running product backlog/release planning, tracking metrics, attending product team ceremonies, and removing blockers.
* Experience with Figma, or similar tool, for wireframe and prototype development.
* Strong problem‑solving skills with the ability to accurately analyze situations and reach productive decisions.
* Experience using Agile methodologies for product development. Proficiency in Agile tools (JIRA, Confluence) for backlog and requirement management.
* Strong leadership, communication, and interpersonal skills with desire to learn.
* Comfortable working in a fast‑paced role and interacting with many collaborators.
* Able to run multiple workstreams and handle changing priorities.
Preferred
* Experience as a product owner or product analyst in the Life Sciences space.
* Experience integrating GenAI solutions into digital products.
* Demonstrated ability to lead cross‑functional self‑organized teams.
Required 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
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