Scientist in Proteomics
vor 1 Woche
The Life Science Career Network
Our client, a pioneer in Drug Discovery and Development and a leader in Personalized Healthcare, stands at the forefront of innovation.
As the world's largest R&D spender in the pharmaceutical and diagnostics domain, they operate across a wide spectrum of drug discovery and therapeutic areas, earning global recognition.
We are currently seeking aScientist in Proteomics to join their headquarters in Basel, Switzerland, on a 12-month contract.
The position is situated within the Investigative Safety and Immunosafety chapter, where efforts are directed towards offering investigative, mechanistic, and discovery-based immuno/safety profiling across various experimental platforms.
The primary focus involves the development of novel approach modalities (NAMs) aimed at safety profiling for our upcoming generation of therapeutics.
Main Responsibilities:
- Organize and conduct proteomics analysis in collaboration with stakeholders in the chapter and from the different therapeutic areas and functions, as needed.
- Plan and discuss the experimental strategy with the stakeholders, team members, and data scientists.
- Supervise and execute proteomics experiments, including sample preparation, nano LC
- MS/MS measurement using highend mass spectrometric instrumentation, data processing and interpretation.
- Provide reports, present and discuss detailed data analysis to the stakeholders in a dynamic and flexible manner.
Qualifications and Experience:
- Must possess a relevant Swiss working/residency permit or Swiss/EU-Citizenship
- Ph.
- A minimum of 3 years experience in proteomics in an academic/industrial environment (post docs)
- Handson expertise in nano liquid chromatography massspectrometry based proteomics is mandatory (documented by publication in a peerreviewed journal). Experience with Orbitrap MS (Q Exactive, Exploris, and/or Tribrids) is essential, and ion mobility (timsTOF Pro, FAIMS Pro) systems is an advantage
- Expertise in quantitative proteomics approaches such as TMT, SILAC, acquisition strategies such as dataindependant and dependant acquisition (DIA, DDA), and targeted approaches such as parallel reaction monitoring (PRM)
- Proficient with common data processing software (Proteome Discoverer, MaxQuant, Spectronaut, PEAKS). Programming (e.g. R/Python) skills are a big plus
- You have excellent verbal and written communication skills in English
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