Scientist R&d - Bern, Schweiz - We make it

We make it

Geprüftes Unternehmen

Bern, Schweiz

vor 3 Wochen

Geschrieben von:

Lena Schneider

beBee Recruiter

Beschreibung

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)

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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 impuritybased 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: