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

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 more at .

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Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist Data Science R&D DSDH - Therapeutics Development & Supply (TDS)

The primary location for this position is open toSpring House PA; Titusville NJ; Spring House PA; Cambridge MA; San Diego CA; Beerse Belgium; Madrid Spain; or Barcelona Spain.

Candidate Interested in our US based locations please apply to: R-067775

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 SUMMARY

The R&D Data Science 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 developmenttosupply continuum for Therapeutics Development & Supply (TDS).

You will be a handson technical contributor working across Process Development Manufacturing Supply Chain Quality and Digital/Data Science teams to deliver highquality AIready data pipelines and data products. This role involves creating robust futureproof data systems engineering workflows and highvalue data repositories that support scientific technical and operational decisionmaking.

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 cloud services and other modern engineering tools.

• Develop and maintain TDSspecific data repositories implementing enterpriselevel data models and creating new models as needed.

• Enable AI/ML readiness by ensuring data is wellstructured 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 highquality data products and engineering requirements.

• Work closely with ontology/knowledge graph teams to implement semantic models and futureproof 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.

CrossFunctional 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 problemsolving and stakeholdermanagement 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 standardsdriven data environments such as CDISC HL7 FHIR OMOP DICOM or manufacturing/quality data standards.

• Familiarity with highdimensional 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.

• Exposure to knowledge graph or ontologydriven architectures.

Why This Role Is Unique

This is a rare opportunity to grow in one of the worlds most ambitious and fast growing R&D Data Science organizations shaping how Therapeutics Development & Supply data powers nextgeneration therapies in the largest biomedical company on the planet. Your work will directly accelerate Johnson & Johnsons scientific discovery fuel AI innovation and impact patients globally.

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 internal employees contact AskGS to be directed to your accommodation resource.

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