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Genome Scale Model Jobs (NOW HIRING)

BCC-NIH

Staff Scientist

Bethesda, MD

... models for distributed, multi-GPU training environments * Integrate and analyze large-scale genomic and epigenomic datasets, including: * ENCODE / modENCODE * NIH Roadmap Epigenomics * UCSC Genome ...

BCC-NIH

Staff Scientist

Bethesda, MD

... models for distributed, multi-GPU training environments * Integrate and analyze large-scale genomic and epigenomic datasets, including: * ENCODE / modENCODE * NIH Roadmap Epigenomics * UCSC Genome ...

Axle

Bioinformatics Scientist

Bethesda, MD

... genome-scale technologies, data mining and knowledge discovery techniques, automated workflow ... Statistical modeling * Scripting * Biological interpretation Specific Qualifications: * Ability to ...

Axle

Bioinformatics Scientist

Bethesda, MD

... genome-scale technologies, data mining and knowledge discovery techniques, automated workflow ... Statistical modeling * Scripting * Biological interpretation Specific Qualifications: * Ability to ...

Axle

Bioinformatics Scientist

Bethesda, MD

... genome-scale technologies, data mining and knowledge discovery techniques, automated workflow ... Statistical modeling * Scripting * Biological interpretation Specific Qualifications: * Ability to ...

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Genome Scale Model information

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How much do genome scale model jobs pay per hour?

As of Jun 23, 2026, the average hourly pay for genome scale model in the United States is $18.39, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.71 per hour, depending on experience, location, and employer.

What is a genome-scale model?

A genome-scale model is a computational representation of an organism's entire metabolic network, used by genome scale model specialists to analyze biological functions. These models help in understanding metabolic capabilities and are built using data from genomics, systems biology, and bioinformatics tools.

What are the key skills and qualifications needed to thrive as a Genome Scale Modeler, and why are they important?

To thrive as a Genome Scale Modeler, you need expertise in systems biology, computational modeling, and a strong background in molecular biology, often supported by a graduate degree in bioinformatics or a related field. Familiarity with modeling tools such as COBRA Toolbox, MATLAB, and databases like KEGG and BioCyc is typically required. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These competencies are crucial for accurately building and interpreting genome-scale models, driving biological insight, and collaborating with interdisciplinary research teams.

What are some common challenges faced when working as a Genome Scale Modeler, and how can they be addressed?

Genome Scale Modelers often encounter challenges such as integrating large, complex biological datasets and ensuring model accuracy. Working with incomplete or inconsistent data can make model validation and prediction difficult. Collaboration with experimental biologists and bioinformaticians is essential to refine models and interpret results. Staying updated with the latest computational tools and methodologies also helps address these challenges and enhances the quality of the models.

What are genome scale models?

Genome scale models (GSMs) are comprehensive computational representations of the metabolic and regulatory networks within an organism, constructed using its entire genome sequence. These models help scientists simulate and analyze biological processes, predict cellular behavior, and understand how genetic changes affect metabolism. GSMs are widely used in biotechnology, medicine, and systems biology for tasks such as metabolic engineering, drug discovery, and studying disease mechanisms.

What jobs work with gene editing?

Jobs that work with gene editing include roles such as genetic engineers, molecular biologists, and bioinformatics specialists. These positions involve using tools like CRISPR and other gene editing technologies in research, development, or clinical applications, often requiring laboratory skills and knowledge of genetics. Professionals in this field may work in biotech companies, research institutions, or healthcare settings.

What is genome-scale analysis?

Genome-scale analysis involves examining the entire genome of an organism to understand its structure, function, and interactions. In the context of a genome scale model, it typically includes constructing computational models that simulate metabolic or genetic networks using data from high-throughput sequencing and bioinformatics tools.

What occupation uses genome mapping?

Genomic researchers and bioinformaticians use genome mapping to analyze and interpret genetic data. These professionals often work in laboratories or research institutions, utilizing tools like DNA sequencing technologies and specialized software to study genetic structures and functions.

What is the difference between Genome Scale Model vs Bioinformatics Analyst?

AspectGenome Scale ModelBioinformatics Analyst
Required CredentialsTypically requires a PhD in computational biology, bioinformatics, or related fieldsOften requires a Bachelor's or Master's in bioinformatics, biology, or related areas
Work EnvironmentResearch labs, academic institutions, biotech companiesHealthcare, research institutions, biotech firms
Industry UsageUsed for systems biology, metabolic network analysis, and large-scale biological modelingUsed for data analysis, genome sequencing, and interpreting biological data

While both roles involve computational biology, Genome Scale Models focus on constructing large-scale biological models, often requiring advanced degrees and specialized modeling skills. Bioinformatics Analysts typically handle data analysis and interpretation, with a broader range of educational backgrounds. Both are vital in biotech and research settings but serve different functions within the biological data ecosystem.

Infographic showing various Genome Scale Model job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 3% Part Time, 1% Temporary, and 3% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $38,242 per year, or $18.4 per hour.
Metabolic Modeler (Temporary)

Metabolic Modeler (Temporary)

University of Nebraska-Lincoln

Lincoln, NE • On-site

$52K/yr

Full-time

Medical, Dental, Vision, Life, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Position Information
Position Information
Working Title
Metabolic Modeler (Temporary)
Department
Biochemistry-0831
Requisition Number
S_260398
Posting Open Date
05/28/2026
Application Review Date: (To ensure consideration, please submit all application materials before review date)
06/11/2026
Posting Close Date
Open Until Filled
Yes
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. See https://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.

Pre-Placement Driving Record Review Required
No
Physical Required
No
Commercial Driver's License (CDL) required. Subject to DOT approved pre-employment & random testing for alcohol and controlled substances.
No
Criminal History Background Check Required
Yes
Posted Salary
$52,250/year minimum
How to Apply
Click on "Apply to this Job". You will then either create an application or edit your current application that is on file.
For questions or accommodations related to this position contact
Karen Randall, krandall2@unl.edu
Job Category (old)
Managerial/Professional
Job Type
Full-Time Temporary
Alternate Work Schedule (if other than 8-5)
Work Location (City, State)
Lincoln, NE
Position funded by grant or other form of temporary funding?
No
If Temporary, indicate end date
Planned Hire Date:
Appointment End Date

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