Immune Metabolism Modeling Scientist (Temp) – Multi-Omics

University of Nebraska-Lincoln; Lincoln (NE); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

Paid time off

Insurance options (health, dental, & 1

Life insurance

Job summary

University of Nebraska–Lincoln seeks an Immune Metabolism Modeling Scientist (Temporary) to lead genome-scale metabolic modeling using in-house tools and to integrate multi-omics data for mechanistic insights. You will mentor students and researchers while contributing to manuscripts, grants, and conference presentations.

The role emphasizes hands-on modeling, data integration, and collaborative research within the Biochemistry department, with a clear focus on advancing immune metabolism

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.

Responsibilities

• 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.

Skills

Python

MATLAB

R

Multi-omics analysis

LLM automation

Education

PhD in Computational Biology

Master’s in Computational Biology

Job description

University of Nebraska–Lincoln seeks an Immune Metabolism Modeling Scientist (Temporary) to lead genome-scale metabolic modeling using in-house tools and to integrate multi-omics data for mechanistic insights. You will mentor students and researchers while contributing to manuscripts, grants, and conference presentations.

The role emphasizes hands-on modeling, data integration, and collaborative research within the Biochemistry department, with a clear focus on advancing immune metabolism