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
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**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
Job Description:
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; or Madrid or Barcelona, Spain.
**For candidates interested in Spain, please apply to requisition: R-081606 **
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 Artificial Intelligence (DDSAI) organization is seeking a hands-on **Principal Scientist, Data Science **to design, build, and scale AI/ML, simulation, forecasting, optimization, decision intelligence and digital twin capabilities that support decision-making across Drug Product Development & Supply (DPDS), with primary focus on Therapeutics Development & Supply (TDS).
This individual contributor role will partner with development, technical operations, clinical supply chain, finance, and digital/data science stakeholders to translate complex scientific, operational, and planning processes into practical decision intelligence capabilities for TDS. The ideal candidate combines deep expertise in data science, operations research, scientific computing, and software development discipline with a track record of delivering measurable business impact in complex technical environments.
KEY RESPONSIBILITIES
Digital Twin Development & Decision Intelligence
· Design, build, validate, and maintain digital twins and decision models of TDS/DPDS operations to support portfolio planning, capacity and resource allocation, demand/supply planning, scenario analysis, and operational decision-making.
· Apply data science, operations research, forecasting, simulation, uncertainty quantification, mathematical optimization, heuristics, and machine learning methods to solve high-value business and scientific planning problems.
· Translate complex development, manufacturing, clinical supply, and planning processes into fit-for-purpose computational models that capture uncertainty, constraints, and cross-functional interdependencies.
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 Leadership, Mentorship & Business Impact
- Partner with scientific, technical, operations, finance, and digital stakeholders to define requirements, shape analytical solutions, and embed outputs into business planning and decision workflows.
- Lead technical work across multiple concurrent projects while remaining a hands-on contributor.
- Communicate model assumptions, limitations, results, and recommendations clearly to technical and non-technical audiences.
- Mentor junior colleagues and provide technical guidance to consultants, post-doctoral researchers, and external collaborators contributing to project delivery.
QUALIFICATIONS
Required
- Advanced degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, Data Science, Chemical Engineering, Chemistry, Physics, or a related quantitative field.
- 3-5+ years of relevant experience applying data science, operations research, simulation, forecasting, optimization, or scientific computing methods to complex R&D, manufacturing, clinical supply, technical operations, or business planning problems.
- Strong Python programming skills and demonstrated use of modern analytical development practices, including version control, testing, documentation, reproducibility, and code review.
- Proven track record of delivering analytical products, computational models, or decision intelligence tools that influenced business, scientific, or operational decisions.
- Demonstrated ability to provide technical leadership in cross-functional environments while remaining a hands-on individual contributor.
Preferred
· Ph.D. in Operations Research, Engineering, Applied Mathematics, Computer Science, Statistics, Data Science, or a related quantitative discipline.
· Experience in pharmaceutical product development, CMC, technical development, manufacturing, clinical supply, supply chain, portfolio planning, capacity planning, resource planning, or regulated life sciences environments.
· Experience deploying simulation, forecasting, optimization, or AI/ML-enabled decision tools into business workflows at enterprise scale.
· 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 advanced modeling, simulation, and optimization transform decision-making across Drug Product Development & Supply, with direct impact on Therapeutics Development & Supply. Your work will directly improve how Johnson & Johnson plans and executes its development portfolio, allocates critical resources, and accelerates delivery of 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.
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#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