Principal Scientist, Data Science - Ddsai - Therapeutics Development Supply

Johnson & Johnson Johnson & Johnson · Pharma · Madrid, Spain +1

Seeking a Principal Data Scientist to design, build, and scale AI/ML, simulation, forecasting, optimization, decision intelligence, and digital twin capabilities for Drug Product Development & Supply (DPDS), focusing on Therapeutics Development & Supply (TDS). The role involves translating complex processes into computational models, applying various quantitative methods, and developing robust analytical workflows using Python and cloud services, adhering to software engineering best practices. The individual will lead technical work, mentor junior colleagues, and partner with stakeholders to embed solutions into business planning and decision workflows.

What you'd actually do

  1. 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.
  2. 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.
  3. Translate complex development, manufacturing, clinical supply, and planning processes into fit-for-purpose computational models that capture uncertainty, constraints, and cross-functional interdependencies.
  4. Develop robust, reusable analytical workflows and modeling assets using Python and modern data science tooling, including cloud-based services.
  5. Partner with scientific, technical, operations, finance, and digital stakeholders to define requirements, shape analytical solutions, and embed outputs into business planning and decision workflows.

Skills

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
  • 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.

Nice to have

  • Ph.D. in Operations Research, Engineering, Applied Mathematics, Computer Science, Statistics, Data Science, or a related quantitative field.

What the JD emphasized

  • AI/ML
  • simulation
  • forecasting
  • optimization
  • decision intelligence
  • digital twin
  • Python
  • version control
  • testing
  • documentation
  • reproducibility
  • code review

Other signals

  • AI/ML
  • simulation
  • forecasting
  • optimization
  • decision intelligence
  • digital twin