Process Science Data and Modelling - Assistant Scientist

Johnson & Johnson Johnson & Johnson · Pharma · Latina, Italy

This role supports modelling activities in the Manufacturing Science and Technology department, focusing on building real-time monitoring models using SIMCA and SIMCA Online for manufacturing processes. It also involves investigational support for process optimizations and root cause analysis, as well as developing characterization models for manufacturing stages. The role requires strong analytical skills and experience with scientific programming languages.

What you'd actually do

  1. Develop and deploy real-time multivariate monitoring models using SIMCA and SIMCA Online to support the technology transfer and manufacturing of various small molecule processes.
  2. Identify, develop and implement process improvement initiatives.
  3. Apply creative solutions to various data science projects.
  4. Provide technical support to process investigations.
  5. Create predictive models to help achieve optimal process performance.

Skills

Required

  • Bachelor or Master Degree in Science, in Engineering or other science related field.
  • Strong analytical skills are a must.
  • Basic knowledge in quality and statistical tools for data analysis.
  • Background in at least one scientific programming language (python, Matlab, R, julia, java, javascript, …).
  • Excellent verbal and written communication skills.
  • Result-oriented; entrepreneurial mindset; sense of urgency and prioritization.
  • Fluency in English.

Nice to have

  • Analytical Reasoning
  • Big Data Management
  • Digital Fluency
  • Engineering
  • Execution Focus
  • Innovation
  • Process Optimization
  • Process Oriented
  • Product Lifecycle Management (PLM)
  • Report Writing
  • Research and Development
  • Researching
  • Statistics
  • Technologically Savvy
  • Experience with drug substance & drug product manufacturing processes is a plus.