Sr Research Scientist - Metabolomics

• Serve as project lead on multiple projects with different collaborators
• Assist with weekly cleaning and calibration of LCMS instrumentation and data quality checks
• Prepare samples for metabolomics/ lipidomics experiments
• Optimize extraction protocols
• Assist researchers with metabolite extractions
• Perform LC/MS/MS experiments for targeted and untargeted metabolomics and lipidomics
• Perform data analysis using software such as TraceFinder, Compound Discoverer and LipidSearch
• Consult with researchers on experimental design and data interpretation
• Produce reports and share them with collaborators
• Participate in grant writing and manuscript preparation
• Present data at group meetings, may attend scientific conferences
• Operate, maintain, and troubleshoot a variety of mass spectrometers
• Develop new metabolomics/ lipidomics methods and workflows when needed
• Assist with general laboratory tasks as needed
• Maintain detailed records and adhere to SOPs
• Supervise and train new laboratory personnel and junior members of the laboratory
• Serve as EHS contact and monitor and enforce laboratory safety standards
• Performs other duties as assigned.

• Ph.D. in analytical chemistry, (bio)chemistry, or a related field, with at least 7 years of research experience, including a minimum of 3 years of experience in metabolomics and/or lipidomics or at least 1 year of postdoctoral research experience
• Familiarity with high-resolution mass spectrometers (e.g. Orbitraps)
• Experience with liquid-chromatography (including standard analytical flow)
• Willingness to work in a collaborative environment with an outfacing customer service acumen
• Recent bench work experience required
• Ability to prepare research reports
• Good verbal and written communication skills
• Demonstrated ability to understanding scientific, experimental and or research theory

• Experience with lipidomics (in addition to metabolomics) strongly preferred
• Experience with gas-chromatography/ NMR/ other methods of analyzing metabolism
• An understanding of the use of stable isotopes in tracing experiments
• A broad knowledge of open-source, high-resolution, accurate-mass data analysis software
• Experience in advanced data processing and analysis encouraged (use of Matlab, R, Python etc)
• Familiarity with statistical methods used in larger cohort studies
• Willingness to explore and adopt AI into the metabolomics workflow

Additional Information

Environmental Working Conditions

Wet chemistry laboratory, and may require appropriate contact with biohazards, radionuclides, toxins, animals, and human specimens.