Scientific Associate - Molecular Biology
Scientific Associate - Molecular Biology
Scientific Associate - Molecular Biology
Scientific Associate - Molecular Biology
Coopers iET AG
Personaldienstleistungen und -beratung
Zürich
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- Art der Anstellung: Studierende
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Scientific Associate - Molecular Biology
Über diesen Job
Scientific Associate - Molecular Biology
We are seeking a motivated Biochemist Analyst to join our client's Protein Engineering Team within Global Drug Development (GDD). In this newly created role, you will support over 130 development projects by applying cutting-edge analytical methods to advance drug discovery and biocatalysis breakthroughs. This is a unique opportunity to make a tangible impact, shape a new role, and grow your career in a fast-paced and innovative pharmaceutical environment.
Responsibilities
- Develop and optimize analytical methods for proteins, peptides, and small molecules.
- Train and transfer analytical methods to cross-functional research teams.
- Perform routine and advanced analyses using HPLC, UPLC, LC-MS, GC, RapidFire MS, UV-Vis spectrophotometry, and other techniques.
- Interpret and document analytical results, ensuring accuracy and compliance.
- Maintain, calibrate, and troubleshoot analytical instruments to ensure operational reliability.
- Utilize and manage a LIMS system for tracking samples and workflows.
- Support enzyme assay development and screening in high-throughput (HTP) format.
- Contribute to capacity planning, scheduling, and effective communication of findings to internal stakeholders.
Must-Haves
- Master’s degree (MSc) in Analytical Chemistry, Biochemistry, or related discipline.
- 4+ years of hands-on experience in an analytical lab (preferably pharma/biotech).
- Strong expertise with analytical separation and detection methods (HPLC/UPLC, LC-MS, GC-MS).
- Proven experience in small molecule detection and protein characterization.
- Skilled in instrument troubleshooting, calibration, and maintenance.
- Excellent communication skills, with strong ability to present data clearly (written & verbal).
- Strong organizational and time-management skills; ability to juggle multiple priorities.
- Proficiency in basic statistics, computer literacy, and electronic documentation systems.
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