Lead Proteomics Scientist

About the role

The University of Kentucky is seeking a Lead Proteomics Scientist to provide scientific leadership for proteomics services within the Mass Spectrometry Core. This role will lead the development of advanced proteomics workflows, support collaborative research programs, and expand the university’s mass spectrometry capabilities.

Responsibilities

• Develop and implement discovery, quantitative, targeted, and specialized proteomics workflows
• Design and optimize LC-MS/MS methods and data analysis pipelines
• Operate, maintain, and troubleshoot advanced mass spectrometry instrumentation
• Conduct proteomics experiments, including sample preparation and quantitative analyses
• Consult with investigators on study design, analytical strategies, and data interpretation
• Support manuscript preparation, grant applications, and collaborative research efforts
• Evaluate emerging technologies and incorporate new approaches into core services
• Maintain quality control standards, laboratory compliance, and operational excellence

Requirements

• Ph.D. with 5+ years of related experience
• Expertise in LC-MS/MS-based proteomics and quantitative proteomics methodologies
• Experience with high-resolution mass spectrometry platforms and proteomics data analysis software
• Strong background in experimental design, data interpretation, and scientific collaboration
• Experience supporting multidisciplinary research teams and managing multiple projects simultaneously
• Excellent communication and scientific writing skills
• Commitment to advancing research through innovative technologies and best practices

Qualifications

• Minimum of 5 years of proteomics experience beyond the Ph.D.
• Demonstrated expertise in LC-MS–based proteomics, including hands-on experience with modern Orbitrap or equivalent high-resolution mass spectrometry platforms
• Experience with Thermo Scientific instrumentation, including Orbitrap Exploris, Ascend, and Altis platforms
• Proficiency in at least three major proteomics workflow types: discovery proteomics (DDA and/or DIA), quantitative proteomics (TMT, SILAC, or LFQ), targeted proteomics (PRM/MRM), or PTM analysis

Skills / Knowledge / Abilities

• Experience developing and executing quantitative proteomics data analysis workflows using standard software tools
• Strong record of scientific achievement demonstrated through peer-reviewed publications arising from collaborative proteomics projects
• Excellent communication skills and a demonstrated commitment to supporting a diverse research community across disciplines
• Ability to manage multiple concurrent projects, maintain accurate records, and meet deliverable timelines across a diverse investigator user base
• Familiarity with NIH Genomic Data Sharing Policy, HIPAA-compliant handling of human research samples, and relevant IRB considerations
• Experience with long-read or top-down proteomics approaches, or multi-omics data integration
• Experience developing or contributing to cost-recovery pricing structures for core facility services

Pay

$73,861-121,888/year

Schedule

Monday – Friday; 8:00 am-5:00 pm; and occasional nights & weekends as needed.