Scientist R&d
vor 24 Stunden
Beschreibung:
We make it GmbH is a company operating nationally in Switzerland, which has a high level of competence in the personnel services sector thanks to many years of successful experience.
Concentration of placement activities on the core areas of industry, technology, office/administration, engineering, pharmaceuticals and IT. We make it GmbH places the highest demands on quality, ethics and discretion.
For our Client who is based in Bern we are searching for Scientist R&D (100%, temporary 12 months) (d/f/m)
***:
**Scientist R&D (100%, temporary 12 months) (d/f/m)**:
**Background.**
CSL Behring is a global biotherapeutics leader driven by its promise to save lives. In Bern more than 1800 employees develop and deliver life-saving therapies to treat people with rare and serious medical conditions worldwide.
**Task and Responsibilites**
- Planning, execution and reporting of impurity profile and impurity-based comparability studies related to quality deviations, process transfers, manufacturing process changes for licensed CSL products or new products and processes
- Planning and delegation of plasma product sample analysis
- Data preparation, analysis and reporting to support investigations related to process changes, process improvements, and deviations
- Represent the IDM team in local and global project teams
- Support global regulatory affairs by updating impurity chapters in registration dossiers and responding to inquiries from authorities
- Support maintenance of impurity data bases and optimization projects
**You must have these qualifications**:
**Education**:
- M.s.c. or Ph.D. in life sciences (Biochemistry, Biology or related field) or corresponding qualification based on
work experience in a relevant field
- Practical experience in pharmaceutical development and/or protein chemistry and plasma proteins
- Team player with good verbal and writing communication skills in German and English and able to work in
interdisciplinary teams
- Analytical thinking and interest in problem solving and ability to autonomously address scientific questions.
- Experience in data management and statistical evaluation of analytical data (i.e with Microsoft Excel, Statistica
and R) would be an advantage.
**Work hours**:
- 41 h/Week / Hybrid work (remote and on site)
**Are you interested?
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