5-7 years of experience in computational LC-MS/MS, particularly in untargeted metabolomics.
Proficient programming skills for developing scientific software.
Strong foundation in analytical chemistry and mass spectrometry physics.
Experience in creating or enhancing algorithms for tools like MZmine or OpenMS.
Passion for solving complex scientific challenges with practical applications.
Responsibilities
Develop and enhance computational tools for LC-MS/MS analysis.
Create methods for identifying molecular structures from various experimental data.
Address complex problems in drug metabolism and metabolomics.
Design automated workflows for processing large datasets.
Transform mass spectrometry experiments into training benchmarks for AI models.
Integrate mass spectrometry with other analytical techniques to assess drug toxicity.
Benefits
Collaborative work environment with a focus on innovation.
Opportunities for professional development and skill enhancement.
Access to cutting-edge technology and resources.
Engagement in impactful scientific research that influences real-world applications.
Full Job Description
What You'll Do
Build and improve computational tools for LC-MS/MS analysis, including feature detection, peak alignment, molecular identification, quantification, and QC.
Develop methods to identify molecular structures from mass spectra and other experimental measurements, including chromatography, UV, and NMR.
Solve challenging problems in complex mixture analysis, drug metabolism, reactive metabolite identification, and cellular metabolomics.
Build automated workflows that can process large experimental datasets accurately and reliably.
Help turn mass spectrometry experiments into benchmarks and training environments that teach AI models to perform scientific analysis.
Combine mass spec with imaging, transcriptomics, and other measurements to better understand drug toxicity.
What We're Looking For
Deep experience with computational LC-MS/MS, especially untargeted metabolomics.
Strong programming skills and experience building scientific software.
A strong understanding of analytical chemistry and the underlying physics of mass spectrometry.
Experience developing new algorithms or extending existing tools such as MZmine or OpenMS.
Someone who enjoys solving hard scientific problems and wants to see their work used in real experiments.
