- Extract insights from information assets in the field of patent and literature analysis for small molecules / chemistry for pharmaceuticals
- Develop the search strategy, select keywords according to the search query and / or the structural requirements for e.g. Markush structure search
- Analyze also large amounts of data by using data management skills, build relevant datasets
- Support further development of retrieval techniques and analysis methods
- Key working relationships: scientists in Pharmaceutical R&D, Patent counsels, database suppliers
- University degree in natural sciences
- Deep knowledge of patent analysis, chemical structure retrieval and analysis in pharmaceutical industry
- Proficiency in database searches for chemistry literature and patents (STN, Cortellis, SciFinder, Orbit)
- Proficiency in chemical structure search (e.g. Markush structure search)
- Data management skills / knowledge of search strategies to handle large amounts of data and ability to build relevant datasets used for analyses is a plus
- Experience with NLP / semantic search technologies and software, such as SciBite, Linguamatics is a plus
- Experience with data handling with KNIME desirable
- Very good skills in Excel required
- Consulting capabilities, high customer orientation, ability to address the information needs of customers
- Self-reliant acting, good time management, analytical and conceptual skills and to be accustomed to work in a structured manner
- Enjoy working in a team, confidential and reliable working style
- Good communication skills in German and English, both spoken and written
- Remote-Work
Referenznummer
506110/1
Kontakt aufnehmen
Telefon:
+ 49 621 1788-4297
E-Mail:
positionen@hays.de
