Principal Vector Data Engineer

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 https://www.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:

Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Vector Data Engineer.  This position has a primary location of Barcelona, Spain.

The secondary location is Madrid.

This is a hybrid role. 

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.

Visionaries like you work in 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 Principal Vector Data Engineer is a technical and strategic leader operating at the intersection of AI, digital health, and therapeutic R&D.

This role leads the development of multimodal vector embedding pipelines and foundation model architectures supporting longitudinal data integration, disease progression modeling, and digital biomarker discovery across Neuroscience, Oncology, and Immunology.

The successful candidate will guide enterprise-scale vectorization efforts while ensuring compliance with clinical, regulatory, and GxP data standards.

Key Responsibilities:

Technical Leadership
• Lead the design, development, and optimization of vector embedding models for diverse biomedical modalities including clinical, regulatory, imaging (MRI, PET), and digital health data.
• Architect scalable, compliant embedding pipelines using modern vector database technologies (FAISS, Pinecone, Weaviate, Milvus, Chroma, etc.).
• Establish robust quality-control frameworks for mobile-captured images and convert pixel-level data into high-fidelity vector representations.
• Drive the adaptation of state-of-the-art academic methods into production-ready, GxP-aware foundation models.
• Oversee multimodal data integration efforts to enable semantic search, retrieval-augmented analysis, and clinical insight generation.

Cross-Functional & Regulatory Leadership
• Collaborate with data scientists, clinicians, engineering teams, and regulatory/QA partners to ensure models and data pipelines align wi...