Principal Scientist, Data Science – R&D DSDH - Therapeutics Development & Supply (TDS)
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 SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Beerse, Antwerp, Belgium, Cornellà de Llobregat, Barcelona, Spain, Madrid, SpainJob Description:
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 to Spring 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 https://innovativemedicine.jnj.com/
POSITION 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 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, 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.
Exposure to knowledge graph or ontology‑driven 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 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 https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.
#JRDDS
#JNJDataScience
JNJIMRND-DS
Required Skills:
Preferred Skills:
Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow AnalysisSkills 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 projects simultaneously with strong organizational skills and adaptability
- 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)
- 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 ontology-driven architectures
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
-
Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
-
Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
-
Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
