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MSAT DSP Process Engineer


Description:


The company is a biopharmaceutical manufacturing site of therapeutic proteins. These proteins are produced through cell culture processes in bioreactors, followed by a purification process. The Manufacturing Sciences Analytics and Technology (MSAT) department provides the scientific backbone to enable the use of these complex biotechnological processes. The focus of the vacancy is on the protein purification part of the process.


Starting from thorough scientific and technical knowledge, you contribute to i) improvement initiatives and monitoring of existing processes at the biotech manufacturing site and the broader Sanofi network and ii) technology transfer activities aiming at introduction of new products and processes at the biopharmaceutical manufacturing site.


Your job will consist of manufacturing-scale activities related to:

  • Technology transfer, initial process validation (including process performance qualification) and process control strategy definition for introduction of new manufacturing processes for clinical and/or commercial manufacturing of biological drug substances;
  • Identification of process improvements, through deep process understanding and digital driven initiatives, to increase yield or process robustness, and generation of a supportive data packages leading to implementation at manufacturing scale;
  • Supporting and safeguarding existing production processes by data trending and monitoring, generation of scientific/technical study protocols and reports in support of significant changes, product impact assessments upon significant deviations in the production process.


Requirements:

  • a PhD or Master in Engineering or Life Sciences, with relevant working experience in process development or MSAT-like functions;
  • Excellent English and Dutch communication skills, both written and oral;
  • A strong technical background in terms of large-scale biotech manufacturing equipment,
  • Experience in protein purification (on lab- and/or manufacturing scale);
  • A flexible and a strong communicator, who is able to connect, go in discussion and find compromise with people in other departments or sites;
  • Excellent analytical and problem-solving mindset, are accurate and show the necessary eye for detail;
  • Familiar with various statistical and data trending techniques;
  • Affinity with digital process monitoring systems (including handling of large online data sets) and data connectivity;
  • Work in team and consider yourself to be a good team player.

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