Data Science & Process Modeling Intern

Johnson Johnson; Schaffhausen; Vor Ort; CHF 17.000 - 21.000; Teilzeit

Zusammenfassung

Johnson & Johnson in Schaffhausen, Switzerland is seeking a Master’s student or recent graduate for a 6‑month internship in the Process Science Modeling and Data team. You will join a multidisciplinary group working on data-driven manufacturing processes, solvent recovery, and process optimization, gaining hands-on industry experience.

Ideal candidates have a Master’s degree in a related field or are close to completing one, with Python-based data analytics experience and strong communication

Qualifikationen

• Enrolled in or recently graduated from a Master's program in Chemical Engineering, Biological Engineering, Chemistry, Physics, Mechanical Engineering, Pharmaceutical Sciences, Engineering field or related.
• 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.

Aufgaben

• Join a multidisciplinary team at the intersection of data science, process modeling, and pharmaceutical manufacturing.
• Data science tasks: Clean, preprocess, and analyze manufacturing process data from existing datasets.
• Modeling and process simulation tasks: Support projects on distillation and solvent recovery process modeling; perform simulation and optimization studies.

Kenntnisse

Problem Solving

Process Modeling

Ausbildung

Master's degree in Chemical Engineering, Biological Engineering, Chemistry, Physics, Mechanical Engineering, Pharmaceutical Sciences or 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 a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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

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.
• 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.

Required Skills

• Problem Solving, Process Modeling

Preferred Skills

• Python for Data Analysis