Principal Scientist, Operations Research & Decision Science- R&D DDSAI 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

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:

Madrid Spain Spring House Pennsylvania United States of America

Job Description:

Johnson & Johnson Innovative Medicine is recruiting for Principal Scientist Operations Research & Decision Science- R&D DDSAI - Therapeutics Development & Supply (TDS)

The primary location for this position is open to Spring House PA 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 SUMMARY

The R&D Data Data Science and Artificial Intelligence (DDSAI) organization is seeking a hands-on Principal Scientist Operations Research & Decision Science to design build and scale simulation optimization digital twin and decision-support capabilities across Therapeutics Development & Supply (TDS) including Chemistry Manufacturing & Controls (CMC) and Clinical Supply Chain (CSC).

This individual contributor will translate complex development manufacturing portfolio capacity resource and clinical supply processes into rigorous computational models. The ideal candidate combines deep expertise in operations research industrial engineering mathematical modeling and scientific computing with the software engineering discipline required to deploy trusted solutions in enterprise decision workflows.

KEY RESPONSIBILITIES

Operations Research & Mathematical Optimization

• Formulate and solve optimization problems involving portfolio prioritization resource allocation capacity planning and resource scheduling.
• Apply linear and mixed-integer programming nonlinear optimization stochastic programming decomposition heuristics and multi-objective methods as appropriate to the decision context.
• Develop models that make constraints uncertainty risk and tradeoffs explicit and convert model outputs into clear decision recommendations.

Simulation Digital Twins & Systems Modeling

• Design build validate and maintain digital twins of TDS and CSC operations to evaluate future scenarios policies investments and operating strategies.
• Develop discrete-event Monte Carlo agent-based system dynamics and hybrid simulations when appropriate to represent complex operational systems.
• Establish fit-for-purpose practices for model verification validation calibration sensitivity analysis uncertainty quantification and ongoing performance monitoring.
• Create reusable modeling components and platforms that can be extended across products programs sites and business processes.

Technical Delivery & Scaled Capability Development

• Develop robust reusable modeling workflows and decision-support products using Python and modern scientific computing optimization simulation and cloud-based tooling.
• Apply software engineering best practices including modular design version control testing documentation reproducibility code review and maintainable interfaces.
• Partner with data engineering product architecture and platform teams to integrate models with enterprise data and embed outputs into recurring planning and operational workflows.

Cross-Functional Leadership & Business Impact

• Partner with leaders and subject-matter experts across TDS CSC technical operations portfolio management finance and digital organizations to define decisions requirements constraints and measures of value.
• Lead technical work across multiple initiatives while remaining a hands-on modeler and developer.
• Communicate model assumptions limitations results and recommendations clearly to technical and non-technical audiences.
• Mentor colleagues and provide technical direction to internal teams consultants and external collaborators.

QUALIFICATIONS

Required

• Advanced degree in Operations Research Industrial Engineering Systems Engineering Applied Mathematics Management Science Computer Science Chemical Engineering or a related quantitative field.
• 5 years of relevant experience applying optimization simulation stochastic modeling decision analysis or related operations research methods to complex operational problems.
• Demonstrated depth in at least two of the following: mathematical programming discrete-event simulation stochastic optimization scheduling network optimization resource allocation inventory optimization or decision-making under uncertainty.
• Strong Python programming skills and practical experience with optimization or simulation frameworks such as Pyomo Gurobi CPLEX OR-Tools SimPy AnyLogic Simio Arena or equivalent tools.
• Proven record of delivering computational models or decision-support products that influenced consequential business or operational decisions.
• Ability to provide technical leadership in cross-functional environments while remaining a hands-on individual contributor.

Preferred

• Ph.D. in Operations Research Industrial Engineering Systems Engineering Applied Mathematics Management Science or a closely related discipline.
• Experience in pharmaceutical development CMC manufacturing clinical supply supply chain portfolio planning capacity planning resource planning or another complex operational environment.
• Experience deploying simulation optimization or digital twin solutions into enterprise workflows and maintaining them as durable products.
• Experience integrating forecasting machine learning or AI methods with prescriptive models and decision-support systems.

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 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 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 Analysis

The anticipated base pay range for this position is :

$117000.00 - $201250.00

Additional Description for Pay Transparency:

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



This position is eligible to participate in the Companys 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: - Experience:

Staff IC