Job Description

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:

Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America

Johnson & Johnson Innovative Medicine is recruiting for Principle Data Scientist - DDSAI - Therapeutics Development Supply

The primary location is flexible to Spring House, PA, Cambridge; MA; Madrid or Barcelona, Spain; or Beerse, Belgium.

For candidates interested in our Spain or Belgium, please apply to requisition: R-081614

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/

The R&D Data Science organization is seeking a Principal Scientist, Data Science to serve as a hands-on technical individual contributor responsible for designing, building, validating, and delivering applied AI/ML and statistical modeling solutions that support Drug Product Development & Supply (DPDS), with a primary focus on Therapeutics Development & Supply (TDS).

This individual contributor will partner with Process Development, CMC, Clinical Supply, Manufacturing, Quality, Regulatory, and Digital/Data Science teams to deliver practical, high-impact data science and machine learning models that support core TDS responsibilities across CMC development, pharmaceutical product development, dossier preparation, technical development, and clinical supply. The ideal candidate brings strong quantitative depth, a background in CMC development, fluency with data science tooling, and a proven record of delivering analytical solutions with real-world impact.

KEY RESPONSIBILITIES

Hands-On Applied AI/ML Model Development

• Serve as a senior hands-on individual contributor responsible for personally designing, coding, testing, validating, and refining applied AI/ML models for high-value TDS use cases.
• Translate complex scientific and business questions into tractable modeling problems, selecting fit-for-purpose methods based on the data, decision context, assumptions, and expected business impact.
• Conduct rigorous exploratory analysis, feature engineering, diagnostics, error analysis, sensitivity analysis, and uncertainty assessment to ensure models are credible, robust, and actionable.

Technical Delivery & Software Development Discipline

• Develop robust, reusable analytical workflows and modeling assets using Python and modern data science tooling, including cloud-based services.
• Apply software engineering best practices, including version control, modular code design, testing, documentation, reproducibility, and code review.
• Use modern development environments, including AI-assisted coding tools where appropriate, to accelerate delivery while maintaining quality, transparency, and maintainability.

Cross-Functional Collaboration, Technical Leadership, and Business Impact

• Engage with scientific, technical, and operations stakeholders to understand requirements, design data and AI/ML solutions, and drive adoption.
• Support multiple concurrent projects, managing priorities and delivering maximum business value across the TDS network.
• Provide technical guidance to junior team members, consultants, post-doctoral researchers, or collaborators while remaining an active hands-on contributor accountable for measurable business impact.

QUALIFICATIONS

Required

• Use modern development environments, including AI-assisted coding tools where appropriate, to accelerate delivery while maintaining quality, transparency, and maintainability.

• 3–5+ years of relevant experience in applied data science, machine learning, statistical modeling, AI/ML solution development, scientific computing, or related quantitative disciplines, preferably in a complex R&D, pharmaceutical development, manufacturing, supply chain, healthcare, or technical operations environment.

• Strong Python programming skills and demonstrated use of modern analytical development practices, including version control, testing, documentation, reproducibility, and code review.
• Strong applied problem-solving skills, with the ability to translate ambiguous scientific, technical, or business questions into rigorous quantitative solutions.
• Strong stakeholder engagement and communication skills, with the ability to explain model assumptions, outputs, uncertainty, and implications to both technical and non-technical audiences.

Preferred

• Ph.D. in Mathematics, Statistics, Engineering, Chemical Engineering, Computer Science, Data Science, Operations Research, Chemistry, Physics, Pharmaceutical Sciences, or another related quantitative or scientific discipline.
• Experience in pharmaceutical product development, CMC development, process development, analytical development, manufacturing, regulatory dossier preparation, clinical supply, or related life sciences environments
• Familiarity with regulated (GxP) or standards-driven environments and the implications of data quality, traceability, reproducibility, documentation, and model governance for applied data science work.·
• Exposure to developing and/or deploying agent-based AI solutions

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 applied AI/ML and advanced analytics transform Therapeutics Development & Supply. Your work will directly support CMC development, clinical supply, dossier preparation, and the broader development-to-supply continuum, helping Johnson & Johnson accelerate scientific decision-making, improve development execution, and deliver next-generation therapies to 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

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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 Analysis

The anticipated base pay range for this position is :

$117,000.00 - $201,250.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Company’s long-term incentive program.

Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:

Vacation –120 hours per calendar year

Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year

Holiday pay, including Floating Holidays –13 days per calendar year

Work, Personal and Family Time - up to 40 hours per calendar year

Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child

Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year

Caregiver Leave – 80 hours in a 52-week rolling period10 days

Volunteer Leave – 32 hours per calendar year

Military Spouse Time-Off – 80 hours per calendar year

For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits