Immune Metabolism Modeling Scientist (Temporary
Listed on 2026-08-22
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Research/Development
Research Scientist, Data Scientist, Biomedical Science, Biotech Research
Immune Metabolism Modeling Scientist (Temporary)
Department Biochemistry-0831
Description Of WorkAs an Immune Metabolism Modeling Scientist
, you will:
- Lead the development, validation, and application of genome-scale metabolic models using in-house computational tools.
- Integrate transcriptomics, proteomics, metabolomics, lipidomics, and other omics data to contextualize metabolic models and investigate complex biological questions.
- Interpret modeling and multi-omics results to identify biological mechanisms, generate hypotheses, and guide research direction.
- Provide technical expertise and mentorship to students, research staff, postdoctoral researchers, and collaborators.
- Contribute to manuscripts, grant proposals, research presentations, and professional conferences.
Within the UNL system, this position is categorized an a M/P Temp Worker.
About UsAt the University of Nebraska–Lincoln, we’re proud to be consistently recognized by Forbes as a top employer and recently earned the "Lincoln Family Friendly Workplace" certification. We are known for our welcoming, supportive environment, commitment to professional growth, and outstanding benefits. UNL isn’t just a workplace; it’s a place to build your career and make a meaningful impact in Nebraska.
Temporary employees may be appointed for a period of up to two years. Those appointed for more than six months are eligible for benefits from the beginning of the appointment, provided the position is half-time (.50 FTE ) or greater. Those appointed for six months or less are not eligible for benefits.
Benefits for eligible temporary employees include- Paid time off including vacation and sick leave
- Comprehensive insurance options including health, dental, vision, and life insurance
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MinimumRequired Qualifications
- PhD in computational biology, systems biology, bioinformatics, biological engineering, biophysics, mathematics, or related field plus two (2) years of post-degree experience in computational systems modeling, simulation, and analytics; OR
- Master’s degree in computational biology, systems biology, bioinformatics, biological engineering, biophysics, or related field plus four (4) years of post-degree experience in computational systems modeling, simulation, and analytics.
- Experience in metabolic model construction, simulations and analyses (e.g. FBA , dFBA, etc); AND
- Experience with analyzing multi-omics data (e.g., single cell and/or spatial transcriptomics, metabolomics, etc), computational biology, disease biomarkers, immune profiling is required
- Advanced computational and programming competence (e.g. Python, MATLAB , or R) is required.
- Advanced data collection, interpretation, and report writing skills are required.
- Material experience using LLM for automation and rapid workflow development.
The following qualifications are preferred, but not required:
- Experience with clinical-level drug development processes is preferred.
- Experiencing working with software developers is preferred.
- Ability to work on site in Lincoln, NE
Posted Salary Salary commensurate with education and experience
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