Job Information
J&J Family of Companies Associate Director, Neuroscience Data Strategy in Barcelona, Spain
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.
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science Portfolio Management
Job Category:
Professional
All Job Posting Locations:
Barcelona, Spain, Madrid, Spain
Job Description:
Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for an Associate Director – Neuroscience Data Strategy, R&D Data Science Digital Health
This position has a primary location of Barcelona, Spain or Madrid, Spain . This position requires up to 10% travel.
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Position Summary
The Data Strategy Neuroscience Manager will contribute to the design and execution of a comprehensive, neuroscience focused data strategy program designed to accelerate research, R&D insights, and evidence generation. Combining strategic planning with hands on execution, this individual will work closely with the Neuroscience organization to understand the “what” and the “why,” while spending most of the time driving the “how” — identifying data assets, coordinating the building of data products, evaluating data availability and applicability while operationalizing capabilities across the neuroscience lifecycle. This individual will act as a trusted partner to the Neuroscience Data Science Digital Health team and the Neuroscience therapeutic area, ensuring data fit and availability for the scaling of research.
Key Responsibilities
Strategy & Roadmap
· Translate R&D Innovative Medicine Neuroscience priorities into an actionable multi-year data roadmap.
· Prioritize data initiatives based on clinical impact, regulatory readiness, speed to insight, and ROI.
· Define success metrics and maintain data roadmap with R&D DSDH Neuroscience organization.
Execution & Delivery
· Lead end to end data-centric discussions across all neuroscience programs (e.g., RWE studies, registries, biobanks, data platform builds, analytic model deployment).
· Partner with sub-teams, driving data ingestion, curation, transformation and linkage across EHR, claims, genomic, imaging, and registry sources leading to the creation of data products.
· Orchestrate vendor and external data partner relationships; Managing scopes, service level agreements (SLA) and expectations.
Leadership
· Present insights and recommendations to senior leadership; facilitate decision fueled by data-driven insights.
Qualifications
Education
- Masters / PhD or equivalent in relevant scientific, computer science, or business field
Skills & Expertise
8 – 10+ years of experience in pharma/biotech R&D or commercial functions, with significant exposure to procurement and/or data strategy. 6+ years of experience with advanced degree.
Hands on experience accessing and working with real world data. Candidate should have experience with R, Python, or another coding language.
Experience should include direct responsibility for and/or collaborations with Neuroscience.
Deep understanding of neuroscience clinical care, endpoints, staging, biomarker / genomic data, and the regulatory landscape for RWE in neuroscience.
Experience designing observational studies, cohort design, causal inference methods, survival analysis and communicating limitations is a plus.
Track record negotiating and managing commercial data providers and research vendors.
Strong ability to translate complex technical work into business recommendations for cross functional and senior stakeholders.‑functional and senior stakeholders.
Proven ability to lead small multidisciplinary teams and influence without direct authority.
Pragmatic problem solving — focus on delivering usable outcomes quickly and iterating.
Strategic thinker who can connect tactical work to long‑term business goals.
High standards for data quality, reproducibility, and documentation.
Collaboration and stakeholder management across clinical, regulatory, and commercial functions.
Comfort working in ambiguity and shaping new capabilities at scale.
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
Required Skills:
Preferred Skills:
Advanced Analytics, Business Case Modeling, Consulting, Cross-Functional Collaboration, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Organizing, Predictive Modeling, Process Improvements, Product Portfolio Management, Technical Credibility