Scientist R&d
vor 1 Tag
Beschreibung:
We make it GmbH is a nationally active company in Switzerland with a high level of expertise in the field of personnel services 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 based in Bern we are looking for a Scientist R&D (M/F/d)
Scientist R&D
**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.
For our impurity and data management (IDM) team within plasma and product development (PPD) department in Bern we
are looking for a Scientist R&D.
**Task and Responsibilites**
- Planning, execution and reporting of impurity profile and impurity-based comparability studies related to 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 and process improvements.
- 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/innovation projects.
**You must have these qualifications**
- 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
- Hybride work possible
**Are you interested?
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