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A major MS vendor is seeking a Research Scientist to join their instrument R&D team. The successful applicant will advance biological mass spectrometry through research and development, focusing on the design, testing, and implementation of innovative technologies. Key responsibilities include instrument operation, data analysis, and collaboration with a diverse research team. Ideal candidates will hold a Master’s or Ph.D. and have strong analytical skills, a passion for scientific discovery, and the ability to work both independently and in a team environment.
Research Scientist in an instrument R&D team at a major MS vendor.
The successful applicant will be responsible for conducting and supporting research projects that advance the field of biological mass spectrometry. The role will suit a hands-on experimentalist with a strong background in design, build and test of charge particle optics instrumentation. Familiarity with mechanical design and high-vacuum assemblies, together with a good understanding of ion optics, electronics and control software will be an advantage. You will work closely with senior researchers and multidisciplinary teams to develop and apply new mass spectrometry technologies for the analysis of complex biological and chemical samples. The role requires good communication skills, an affinity for teamwork, attention to detail and a passion for scientific discovery.
Key Responsibilities:
Benefits:
Education:
Master’s degree (MSc) or Ph.D. in Chemistry, Biochemistry, Analytical Science, or a related field with a focus on charged particle optics instrumentation.
Experience:
Experience in mass spectrometry, including hands-on experience with instruments such as LC-MS, GC-MS, or MALDI-TOF, is desirable.
Familiarity with sample preparation techniques and data analysis methods in mass spectrometry.
Previous experience in a research setting, particularly in an academic or industrial laboratory, is preferred.
Skills:
Strong analytical and problem-solving skills, with attention to detail in experimental work.
Proficiency in using software for data analysis and interpretation.
Good organizational skills, with the ability to manage multiple tasks and meet deadlines.
Effective communication skills, both written and verbal, for reporting research findings and collaborating with team members.
Other Requirements:
Ability to work independently as well as part of a collaborative team.
Willingness to learn and adapt to new technologies and research methodologies.