Immune Metabolism Modeling Scientist (Temporary) Department Biochemistry-0831
Description Of Work As 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 Us:
At 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
Learn more about working at UNL : https://go.unl.edu/aboutus
The University of Nebraska does not discriminate based on race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation in its programs, activities, or employment. See https://go.unl.edu/nondiscrimination
Minimum Required 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.
Preferred Qualifications 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
