174 Laboratory emplois trouvés

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Alerte d’emploi

Scientist Process Analytics (HPLC)

Randstad (Schweiz) AG

Geneva area
Avis soumis
Scientist Process Analytics (HPLC)
  • Participate in the planning and execution of all requests from different teams according to project timelines and budget;
  • Responsible for all aspects of method development (mainly high-throughput methods), sample preparation, data acquisition, data analysis and data interpretation using software platforms
  • Author, review and edit internal protocols / reports, documents, internal presentations;
  • Use the most appropriate experimental design (including DoE) and problem-solving methods to define the analytical corridor;
  • Operate as part of a cross-functional project team;
  • Contribute to method transfer between labs, according to the project requirements
  • Escalate issues in a timely fashion;
  • Write and peer review the electronic laboratory notebook;
  • Prepare and deliver draft presentations and reports for internal (and external if needed);
  • Deliver practical training;
  • Actively participate in scientific discussions;
  • Participate in equipment's maintenance and troubleshooting;
  • Contribute to method improvements, writing and update of operating procedures;
  • Demonstrate flexibility to support other activities within the team/department.

  • 3-5 years' experience in Biotech Industry or equivalent with demonstrated track record in analytical development;
  • Master's degree (PhD will be not considered)
  • Advanced scientific degree in biotech process sciences or similar field;
  • Fluency in English essential both oral and written, French would be an asset.
  • Strong background in automation and liquid handling (e.g. TECAN, Hamilton) and solid experience in protein/mAb analytics (HPLC/UPLC, MS and ELISA could be an asset);
  • Experience is preferred with experiments that include, but are not limited to, protein A purification, glycan mapping, low/high molecular species analysis, charge variant profiling
  • Experience in evaluation and implementation of new technologies are desirable but not essential.

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