Data Science & Process Modeling Intern Career Programs Schaffhausen Save Saved
Data Science & Process Modeling Intern Career Programs Schaffhausen Save Saved
Data Science & Process Modeling Intern Career Programs Schaffhausen Save Saved
Data Science & Process Modeling Intern Career Programs Schaffhausen Save Saved
JOHNSON & JOHNSON
Pharma, Medizintechnik
Schaffhausen
- Art der Beschäftigung: Vollzeit
- Vor Ort
- Zu den Ersten gehören
Data Science & Process Modeling Intern Career Programs Schaffhausen Save Saved
Über diesen Job
Job description:
At Johnson & 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
Required Skills: