Senior Scientist, Data Science

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.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

Belgium R-108690, Spain R-104989

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Beerse, Antwerp, Belgium, Madrid, Spain, Turnhout, Antwerp, Belgium

Job Description:

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for Senior Scientist, Data Science – R&D DDSAI – Therapeutics Development & Supply (TDS).

The primary location for this position is open to: Beerse, Belgium or 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 Science organization is seeking a Senior Scientist, Data Science with a focus on data product engineering to build and maintain scalable data pipelines, data integration workflows, and AI-ready data products that support analytics, AI/ML applications, and digital transformation 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, Digital and Data Science teams to deliver high-quality data pipelines and reusable data products that support scientific, technical, and operational decision-making.

The role includes developing data products that preserve scientific and operational context through metadata, semantic models, and relationships between entities, and preparing unstructured content for AI applications through embedding generation and vector indexing. You will work with domain experts, data architects, and data scientists to implement these capabilities within established enterprise standards and technical architectures.

KEY RESPONSIBILITIES

Data Pipeline Development & Maintenance

· Build and maintain data pipelines for integrating, cleaning, and transforming TDS data from diverse sources and systems (ELNs, MES, LIMS, SAP, quality systems, clinical supply platforms) into reusable and governed data products

· Develop and optimize data flows for structured and unstructured data using Python, SQL, cloud services, and modern engineering tools.

· Support the creation and maintenance of TDS-specific data repositories, implementing enterprise data models and quality standards.

Data Product Development & AI Readiness

· Contribute to the delivery of AI-ready data products by ensuring data is well-structured, versioned, traceable, and semantically aligned with enterprise standards. Incorporate domain definitions, metadata, and relationships that make data interpretable and reusable across scientific and operational use cases.

· Implement and maintain semantic mappings and components of semantic layers, working with domain experts and data architects to apply established vocabularies, ontologies, and data models.

· Develop and maintain workflows for preparing unstructured content for AI-enabled retrieval, including content extraction, chunking, embedding generation, and vector indexing, while preserving source references and relevant metadata.

· Support the population and maintenance of knowledge graphs by transforming source data into entities and relationships and implementing data ingestion and quality checks within established graph models.

· Partner with data scientists and ML engineers to understand downstream data requirements and ensure fitness for analytical and AI/ML use cases.

· Support metadata management, data cataloging, and lineage documentation.

Quality, Compliance & Engineering Practices

· Implement data quality checks, validation routines, and monitoring for accuracy, completeness, and consistency.

· Follow software development best practices: version control, code review, testing, documentation, and CI/CD integration.

· Support data governance and compliance requirements, including traceability and audit readiness.

QUALIFICATIONS

Required

· Advanced degree in Engineering, Data Science, Life Sciences, Computer Science, or a related field.

· 1–3 years of experience in data product engineering, data integration, or data pipeline development.

· Proficiency in Python and SQL, and familiarity with cloud-based data platforms, such as AWS or Snowflake.

· Understanding of data modeling, ETL/ELT patterns, and data quality principles.

· Experience with or exposure to knowledge graphs, graph databases, or RDF triple stores, using platforms such as Neo4j, Amazon Neptune, or GraphDB; familiarity with representing and querying entities and relationships. Experience with all listed platforms is not required.

· Strong problem-solving skills and ability to work across multiple concurrent projects.

Preferred

· Experience with NoSQL databases.

· Familiarity with scientific, manufacturing, or healthcare data environments.

· Exposure to regulated or standards-driven data environments (e.g., CDISC, HL7, ISA-88/95).

· Experience with workflow orchestration tools.

· Practical experience applying semantic models, controlled vocabularies, or ontologies to data integration and reusable data products.

· Exposure to embedding generation, vector indexing, and retrieval workflows for unstructured scientific or technical content.

· Familiarity with graph query languages such as Cypher or SPARQL.

Why This Role Is Unique

This role offers the opportunity to build reusable data capabilities that connect scientific and operational data with the context needed for analytics and AI. Working across Therapeutics Development & Supply, you will contribute directly to practical applications that support pharmaceutical development, manufacturing, and supply decisions.

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#LI-Hybrid

#JRDDS

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Required Skills:

Preferred Skills:

Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow Analysis

The anticipated base pay range for this position is:

€56,000.00 - €88,780.00

Benefits:

In addition to base pay, we offer the following benefits*: an annual bonus with set targ