Principal Scientist, Data Science – R&D DDSAI - Therapeutics Development & Supply (TDS)

About this role

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

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

Job Category: Scientific/Technology

All Job Posting Locations: Madrid, Spain, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America

Job Description: Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist, Data Science – R&D DDSAI - Therapeutics Development & Supply (TDS) The primary location for this position is open to Spring House, PA; Malvern, PA; Madrid, Spain

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our 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 visit https://innovativemedicine.jnj.com/ 

POSITION SUMMARY The R&D Data, Data Science and AI organization is seeking a Data Scientist – Data Engineer to design, build, and optimize data capture, processing, and storage solutions that enable advanced analytics, digital process transformation, and AI/ML applications across the development‑to‑supply continuum for Therapeutics Development & Supply (TDS).

You will be a hands‑on technical contributor working across Process Development, Manufacturing, Supply Chain, Quality, and Digital/Data Science teams to deliver high‑quality, AI‑ready data pipelines and data products. This role involves creating robust, future‑proof data systems, engineering workflows, and high‑value data repositories that support scientific, technical, and operational decision‑making.

KEY RESPONSIBILITIES Data Engineering & Pipeline Development • Design, build, and maintain scalable data pipelines for acquiring, integrating, and managing TDS data from diverse data generation sources and systems (e.g., lab systems, MES, clinical supply, quality systems, external partners). • Create and optimize data flows for structured and unstructured data using Python, R, SQL, DBT, cloud services, and other modern engineering tools. • Develop and maintain TDS‑specific data repositories, implementing enterprise‑level data models and creating new models as needed. • Enable AI/ML readiness by ensuring data is well‑structured, versioned, traceable, and semantically aligned with enterprise data standards.

Data Product & Architecture Partnership • Partner with data scientists, TDS domain experts, and digital technology teams to translate business needs into high‑quality data products and engineering requirements. • Work closely with ontology/knowledge graph teams to implement semantic models and future‑proof data architectures.

Quality, Compliance & Performance • Implement data quality and performance standards; define KPIs to measure accuracy, completeness, and consistency across TDS data assets. • Apply data versioning and lineage tracking for compliance, traceability, and audit readiness. • Follow software development best practices including code versioning, DevOps integration, and documentation.

Cross‑Functional Collaboration • Engage with scientific, technical, and operations stakeholders to understand requirements, design data solutions, and drive adoption. • Support multiple concurrent projects, managing priorities and delivering maximum business value across the TDS network.

QUALIFICATIONS Required • Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or related field; advanced degree preferred. • 3+ years of experience in data engineering, including data modeling and database design, preferably in a scientific, manufacturing, or healthcare environment. • Proficiency with Python, R, SQL, and cloud-based architectures (e.g., AWS services, Snowflake, Redshift). • Experience with NoSQL and graph databases. • Strong analytical, problem‑solving, and stakeholder‑management skills, with the ability to translate discussions into actionable requirements. • Ability to drive multiple exciting projects simultaneous with strong organizational skills and adaptability.

Preferred • Experience with regulated or standards‑driven data environments, such as CDISC, HL7, FHIR, OMOP, DICOM, or manufacturing/quality data standards. • Familiarity with high‑dimensional data (e.g., imaging, sensor data, etc). • Experience with principles connecting to or feeding MLOps and model deployment workflows. • Knowledge of manufacturing systems (MES), laboratory information systems, or industrial data systems. • Experience with knowledge graph architectures.

Why This Role Is Unique This is a rare opportunity to grow in one of the world’s most ambitious and fast growing R&D Data Science organizations, shaping how Therapeutics Development & Supply data powers next‑generation therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnson’s scientific discovery, fuel AI innovation, and impact pa

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