Applications Scientist (Proteomics)

About the role

The Applications Scientist will drive commercial success of MOBILion’s HRIM platform by developing and demonstrating cutting‑edge proteomics workflows. Reporting to the Director of Applications and New Technologies, the role bridges product development, applications support, and customer collaboration.

Key responsibilities

• Develop, optimize, and execute best‑in‑class bottom‑up proteomics workflows on high‑resolution MS instruments, including protein expression, PTM profiling and localization.
• Design and run proof‑of‑concept studies, application notes and demos that translate customer challenges into tangible value.
• Operate, troubleshoot, and maintain Thermo Orbitrap and/or Bruker timsTOF platforms and associated LC‑MS systems, processing data to generate scientific insights.
• Collaborate with customers, key opinion leaders, and internal teams to create innovative workflows, deliver live/virtual demonstrations, and produce technical materials such as presentations, white papers and posters.
• Provide scientific feedback to product development, software, and R&D teams, influencing product direction and ensuring prototype and production systems meet performance requirements.

Required profile

• Bachelor’s with 8+ years, Master’s with 5+ years, or PhD with 2+ years of relevant proteomics experience.
• Proven track record of introducing new technologies into existing workflows and publishing scientific results.
• Strong communication skills and ability to work independently in a fast‑paced, interdisciplinary environment.

Required skills

• Hands‑on experience with bottom‑up, middle‑down and top‑down proteomics workflows.
• Operation of high‑resolution mass spectrometers (Thermo Orbitrap, Bruker timsTOF) and ion mobility spectrometry.
• Proficiency with LC platforms (HPLC, UHPLC, nanoLC) and LC‑MS/MS method development.
• Mass spectrometry data processing, interpretation, statistical analysis, and bioinformatics tools.
• Familiarity with proteomics software, Python, R and AI‑based data analysis tools.