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11 дней назад

Data Science & Process Modeling Intern (Pharmaceutical Manufacturing)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Switzerland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Science & Process Modeling Intern (Pharmaceutical Manufacturing) (Python/process modeling): Analyzing manufacturing process data and developing models for distillation and solvent recovery with an accent on process understanding, simulation, and sustainable manufacturing. Focus on cleaning datasets, refining process models, optimizing performance, and presenting recommendations to scientific and engineering teams.

Location: Schaffhausen, Switzerland

Company

Johnson & Johnson develops healthcare, Innovative Medicine, and MedTech solutions focused on preventing, treating, and curing complex diseases.

What you will do

  • Clean, preprocess, and analyze manufacturing process data.
  • Use exploratory data analysis and visualization to identify patterns and actionable insights.
  • Support distillation and solvent recovery process modeling projects.
  • Refine process model components and run simulation and optimization studies.
  • Present results and recommendations to scientific and engineering teams.

Requirements

  • Enrollment in or recent graduation from a Master's program in Chemical Engineering, Biological Engineering, Chemistry, Physics, Mechanical Engineering, Pharmaceutical Sciences, Engineering, or a related field.
  • Experience with Python-based data analytics.
  • Experience with modeling and programming using Python, MATLAB, R, gPROMS, Aspen Plus, or relevant software.
  • Strong problem-solving, verbal, and written communication skills.
  • Motivated and entrepreneurial approach.

Culture & Benefits

  • Six-month internship within a multidisciplinary Process Science Modeling and Data team.
  • Collaboration with scientists and engineers on real industrial challenges.
  • Exposure to global sites, platforms, and manufacturing modalities.

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