Research Assistant Professor in Proteomics, Metabolomics, and Lipidomics

Location: El Paso, TX Category: Science Posted On: Fri Nov Job Description:

The Department of Biological Sciences at The University of Texas at El Paso (UTEP) invites applications for a non-tenure-track faculty position as a Research Assistant Professor in the areas of Proteomics, Metabolomics, and Lipidomics, beginning Spring 2026. The appointments will be for 12 months, and the position can be renewed for a maximum of 3 years; renewal beyond 3 years will depend on the successful candidate's ability to secure extramural funding. We seek an innovative, highly collaborative scientist with a strong background in Biochemistry, Chemistry, and/or Molecular Biology. Candidates with expertise in generating, analyzing, and curating large-scale omics datasets, including proteomic, lipidomic, metabolomic, glycomic, and/or glycopeptidomic data, are especially encouraged to apply.

The successful candidate will oversee and maintain state-of-the-art core instrumentation in the Biomolecule Analysis and Omics Unit within the Department of Biological Sciences. They are expected to participate in collaborative research programs across the Colleges of Science, Health Sciences, Engineering, and the School of Pharmacy; secure extramural funding independently or collaboratively; publish in high-impact peer-reviewed journals; contribute to the training of undergraduate and graduate students, postdoctoral fellows, and technical staff. The candidate will also conduct workshops and training sessions in proteomics, metabolomics, lipidomics, glycomics, glycopeptidomics, and related omics data analysis.

Job Requirements:

Candidates must hold a Ph.D. (or equivalent) in a relevant field and have a minimum of two years of postdoctoral experience. Applicants must demonstrate a strong record of research productivity and a clear potential to secure external funding. Competitive applicants will provide documented evidence of the following:

• Grant writing & extramural funding. Experience writing or contributing to instrumentation grants, research grants, or collaborative proposals.
• Demonstrated success in collaborative research and peer-reviewed publications.
• Experience with core facility management:
• Oversight of day-to-day core operations, user training, scheduling, and service coordination.
• Development of Standard Operating Procedures (SOPs) and quality-control workflows.
• Maintenance and troubleshooting of core instrumentation.
• Instrument method development & optimization: Proven ability to develop, optimize, and validate LC-MS/MS methods for complex sample types.
• Expertise in extracting proteins, metabolites, and lipids and performing nano- and micro-flow LC-HR-MS/MS for comprehensive multi-omics analysis.
• Proficiency in Python and R (essential) for data analysis, modeling, and visualization.
• Ability to work effectively within diverse, multidisciplinary teams of faculty, staff, and students from varied ethnic, cultural, and socioeconomic backgrounds.
• Commitment to involving students in research, mentoring, and publication opportunities.
• Compliance, safety, and regulatory knowledge
• Knowledge of laboratory safety, chemical hygiene, and data integrity standards (e.g., QA/QC practices).

Preferred skill sets for competitive candidates include:

• Familiarity with data processing and interpretation using some of the widely used, and field-standard software tools, mentioned below:
• Proteomics: Proteome Discoverer, MaxQuant + Perseus, Spectronaut (DIA), FragPipe/ MSFragger, and Scaffold
• Lipidomics: LipidSearch, MS-DIAL, LipidMatch, and Skyline
• Metabolomics: Compound Discoverer, XCMS, MZmine 3, MS-DIAL, and TraceFinder (targeted)
• Glycoproteomics/Glycomics: Byonic, pGlyco3, SimGlycan, GlycoWorkbench/ GlycanBuilder
• Small-Molecule Quantification: Skyline, TraceFinder, MultiQuant, QuanLynx,
• Multi-Omics Integration: MetaboAnalyst, NetworkAnalyst/OmicsNet, and Cytoscape
• Experience in analyzing genomics and transcriptomics data sets.
• Application of advanced statistical modeling and bioinformatics tools for comprehensive multi-omics data integration and interpretation.
• Successful teaching experience at the university/community college level.
• Strong communication & reporting skills
• Core users and collaborators depend on reporting and documentation.
• Ability to generate clear reports, SOPs, training materials, workflows, and user documentation.
• Data management & computational reproducibility
• Experience with data pipelines, version control (e.g., GitHub), reproducible workflows, and cloud or HPC environments.

Additional Information:

In keeping with its access, excellence, and impact mission, The University of Texas at El Paso is committed to an open, diverse, and inclusive learning and working environment that honors the talents, respects the differences, and nurtures the growth and development of all. We seek to attract faculty and staff who share our commitment.

The University of Texas at El Paso is an Equal Opportunity Employer. The University does not discriminate on the basis of race, color, national origin, sex, religion, age, disability, genetic information, veteran status, or sexual orientation and gender in employment or the provision of services in accordance with state and federal law. Discrimination on the basis of sex includes an employee's or prospective employee's right to be free from sexual harassment under Title IX of the Higher Education Amendments of 1972. Inquiries-including the filing of a Formal Complaint or reporting an incident-about the application of Title IX may be referred to the Title IX Coordinator, who can be reached by phone at , by email at , or by mail at 500 W. University Ave., El Paso, TX, Kelly Hall, Room 312.

For accommodation information for employees and applicants with disabilities, please contact UTEP's Equal Opportunity Office at

To the extent that this position involves research, work, or access to critical infrastructure as referenced in Executive Order GA-48, being hired for and continuing to be employed in this position requires the ability to maintain the security or integrity of the infrastructure.