Data Science & Process Modeling Intern — Pharma Ops

Johnson & Johnson Innovation

Schaffhausen

Sur place

CHF 21 000 - 30 000

Temps partiel

14 jours+
Générateur de candidature

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Résumé du poste

Johnson & Johnson Innovation in Schaffhausen invites a Master’s student (or recent graduate) to join the Process Science Modeling and Data team for a 6-month internship. Work across data science, process modeling, and pharmaceutical manufacturing to improve process understanding and enable sustainable operations.

You will preprocess and analyze manufacturing data, build and refine process models for distillation and solvent recovery, run simulations, and present findings to scientists and

Qualifications

  • Enrolled in or recently graduated from a Master's program in Chemical Engineering, Biological Engineering, Chemistry, Physics, Mechanical Engineering, Pharmaceutical Sciences, or related fields.
  • Experience with python-based data analytics.
  • Experience with modeling and programming (e.g., Python, MATLAB, R, gPROMS, Aspen Plus, or other relevant software).

Responsabilités

  • Data science tasks: Clean, preprocess, and analyze manufacturing process data from existing datasets.
  • Apply exploratory data analysis and visualization techniques to uncover patterns and generate actionable insights.
  • Modeling and process simulation tasks: Support projects on distillation and solvent recovery process modeling.
  • Apply novel process models to address manufacturing and process development needs, refining model components as needed to accurately represent the processes under study.
  • Perform simulation and optimization studies to improve process performance.
  • Present results and recommendations to scientific and engineering teams.

Connaissances

Data analytics
Python
MATLAB
R
Process modeling
Problem solving

Formation

Master's degree in Chemical Engineering or related field
Master's student or recent graduate

Outils

Python
MATLAB
R
gPROMS
Aspen Plus

Description du poste

Johnson & Johnson Innovation in Schaffhausen invites a Master’s student (or recent graduate) to join the Process Science Modeling and Data team for a 6-month internship. Work across data science, process modeling, and pharmaceutical manufacturing to improve process understanding and enable sustainable operations.

You will preprocess and analyze manufacturing data, build and refine process models for distillation and solvent recovery, run simulations, and present findings to scientists and

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