Postdoc - Process Modelling and Applied Data - Munich, Deutschland - BI Pharma GmbH&Co

BI Pharma GmbH&Co
BI Pharma GmbH&Co
Geprüftes Unternehmen
Munich, Deutschland

vor 1 Woche

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter


Beschreibung

The Position:

Shape the digital transformation at Boehringer Ingelheim's largest R&D location.

Join and complement an enthusiastic team of information scientists and develop together with our scientists AI-supported state-of-the-art models for drug product manufacturing processes in Pharmaceutical Development.

This position is part time eligible with 80 %.

This Position is limited for 2 years.


Tasks & responsibilities:


  • In your new role, you will develop, implement and evaluate stateoftheart process models within drug product manufacturing processes in Pharmaceutical Development for solid oral and parenteral dosage forms.
  • You will be responsible for design, implementation, and evaluation of first principles and machine learning models for unit operations in Pharmaceutical Development including cooperation with external partners.
  • Furthermore, you will collaborate with drug development experts and utilize process models to guide efficient design of experiments.
  • You will improve data structures and data integrity for relevant data sources in Pharmaceutical Development and define data flows to enable integrated data analysis. The interdisciplinary collaboration to develop digital strategies and roadmaps for drug development, e.g. efficient use of digital twins, will be also part of your attractive position.

Requirements:


  • Ph.
D. in process engineering, chemical engineering, pharmaceutical engineering, applied mathematics or similar with a substantial publication record

  • Expertise in mechanistic modelling and experience in process optimization or process control
  • Knowhow in current programming languages, e.g. Matlab, Python, Julia or R and experience in process simulation software, e.g. ASPEN Plus or gPROMS
  • Knowledge in data science, statistics and machine learning would be beneficial
  • Teamwork and communication skills with the ability to steer and lead interdisciplinary projects
  • Scientific mindset, analytical skills, quick comprehension of complex problems
  • Fluent language skills in English are mandatory, German language skills is a plus

Ready to contact us?:


Recruitment process:

Step 2:
Virtual meeting in the period from mid till end of January 2024

Step 3:
On-site interviews in the end of January 2024

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