Pharma Data Science & Process Modeling Intern

Johnson & Johnson Innovative Medicine; Schaffhausen; Vor Ort; CHF 17.000 - 30.000; Vollzeit

Zusammenfassung

Johnson & Johnson invites Master’s students or recent graduates to join the Process Science Modeling and Data team for a 6-month internship in Schaffhausen, Switzerland. You will work on data-driven projects that improve manufacturing processes, supported by mentors across engineering and science teams.

The role emphasizes hands-on experience with real industrial challenges, including solvent recovery and process simulation, with opportunities to contribute to process development initiatives.

Qualifikationen

• Enrolled in or recent Master’s program in a relevant engineering/science field.
• Experience with Python-based data analytics.
• Experience with modeling/programming (Python, MATLAB, R, gPROMS, Aspen Plus).
• Motivated, entrepreneurial approach and good problem-solving skills.
• Excellent verbal and written communication skills.

Aufgaben

• Join a multidisciplinary team at the intersection of data science, process modeling, and pharmaceutical manufacturing.
• Contribute to projects that leverage manufacturing data and process models to improve process understanding and operations.
• Perform modeling, simulation, and optimization studies to improve process performance.
• Present results and recommendations to scientific and engineering teams.

Kenntnisse

Data analysis

Problem solving

Communication

Teamwork

Ausbildung

Master's candidate or graduate in related field

Tools

Python

MATLAB

R

gPROMS

Aspen Plus

Jobbeschreibung

Johnson & Johnson invites Master’s students or recent graduates to join the Process Science Modeling and Data team for a 6-month internship in Schaffhausen, Switzerland. You will work on data-driven projects that improve manufacturing processes, supported by mentors across engineering and science teams.

The role emphasizes hands-on experience with real industrial challenges, including solvent recovery and process simulation, with opportunities to contribute to process development initiatives.