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

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through 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 humanity.Learn more at jnj.com.

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:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Schaffhausen, Switzerland

Job Description:

AtJohnson & Johnson,we believe health is everything. Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

We are eager to bring on board a skilled and motivated Master’s student (or recent Master’s graduate) to our Process Science Modeling and Data team for 6 months. Our organization supports all sites, platforms and modalities - all over the globe.

Key responsibilities:

Join a multidisciplinary team working at the intersection of data science, process modeling, and pharmaceutical manufacturing. You will contribute to projects that leverage manufacturing data and process models to improve process understanding, optimize operations, and support sustainable manufacturing initiatives such as solvent recovery. This internship offers hands-on experience with real industrial challenges while collaborating with scientists and engineers.

Responsibilities include:

• 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.

Qualification :

• Enrolled in or recently graduated from a Master’s program in Chemical Engineering, Biological Engineering, Chemistry, Physics, Mechanical Engineering, Pharmaceutical Sciences, Engineering field or other related fields required.
• Experience with python-based data analytics.
• Experience with modeling and programming (e.g., Python, MATLAB, R, gPROMS, Aspen Plus, or other relevant software)
• Motivated, entrepreneurial approach
• Good problem-solving skills
• Excellent verbal and written communication skills