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Job Description
Requisition Number:
S_260398
Department:
Biochemistry-0831
Description of Work:
As a Metabolic Modeler (Temporary), you will: Creative and validate genome-scale metabolic models using our in-house software for various immune and disease cell types of interest. Analyze transcriptomics, proteomics, metabolomics and lipidomics data and their integration to contextualize the genome-scale metabolic models for different organisms. Integrate omics and metabolic modeling analysis. Conduct biological interpretation of modeling results in the context of the project objectives. Within the UNL system, this position is categorized as an 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.
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//go.unl.edu/nondiscrimination
Minimum Required Qualifications:
Master's degree in computational biology, systems biology, bioinformatics, biological engineering, biophysics, mathematics, or related field plus six (6) years of post-degree experience in computational systems modeling, simulation, and analytics. Experience with analyzing multi-omics data (e.g., single cell and/or spatial transcriptomics, metabolomics, etc), computational biology, disease biomarkers, or immune profiling. Advanced computational and programming competence (e.g., Python, MATLAB, or R). Advanced experience working with metabolic models. Excellent communication and interpersonal skills. Ability to give and receive constructive criticism to solve complex scientific and technical challenges. Highly efficient at working both independently and asynchronously, and with remote-based colleagues. Desire to work on a highly complex infrastructure that requires tight integration and communication with the computational and experimental scientists and software developers.
Preferred Qualifications:
The following qualifications are preferred but not required: PhD in computational biology, systems biology, bioinformatics, biological engineering, biophysics, mathematics, or related field plus five (5) years of post-degree experience in computational systems modeling, simulation, and analytics. Experience working with software developers. 8+ years of experience with metabolic models.
