Sapes, East Macedonia and Thrace, Greece
32 days ago
Technology Transfer Research Scientist (Analytical)

Pharmathen is one of the leading complex drug delivery and formulation developers and is among the top 50 pharmaceutical research companies in Europe. Driven by innovation, the company specializes in one of the most modern and technologically innovative sectors, developing Long Acting Injectables (LAI), Sustained Release formulations and Preservative Free Ophthalmics.

Pharmathen’s portfolio consists of over 100 products, produced at its facility in Sapes, Rodopi, approved by the US Food and Drug Administration (FDA), and at its modernized production unit in Pallini, Attica.

Pharmathen is one of the largest private investors in research and development in Greece, with steady investments of €35 million annually in the R&D sector and employs over 1,350 people from over 24 different nationalities. The company's enduring success is attributed to the passion for creativity, the ethics, and dedication of its people, who share the company's vision of making a difference in people’s lives.

Due to continuous growth and expansion, Pharmathen Pharmaceuticals offers a great opportunity for career development and is seeking to attract a Technology Transfer Research Scientist (Analytical) to join our Technology Transfer team at Pharmathen’s Sapes premises.

As a Technology Transfer Research Scientist (Analytical) you will be accountable for carrying out and supporting all stages of a new product scale up through analytical method validation and analysis related to trials and process validation batches.

More particularly:

What you’ll do:

Participate in the development and validation of analytical methods and the improvement of existing ones Participate in the preparation of reports for scale up trials and process validation Execute analysis of the prepared scale up trials and validation batches Participate in the stability studies as per the approved protocols Adhere to safety and housekeeping requirements Evaluate and interpret experimental data Ensure that all consumables are available before the execution of the analysis
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