Digital Twin Innovation Hub Temporary Staff Scientist Positions

Position Information

Position Information

Working Title
Digital Twin Innovation Hub Temporary Staff Scientist Positions

Department
Biochemistry-0831

Requisition Number
S_250818

Posting Open Date
12/12/2025

Application Review Date: (To ensure consideration, please submit all application materials before review date)
01/05/2026

Posting Close Date

Open Until Filled
Yes

Description of Work

Join our team and build the future of personalized medicine, changing the way diseases are understood, and therapies are customized to the individual.

We are building the first-ever Immune Digital Twin - a personalizable computer replica of the immune system - to enable everyone and anyone to assess and optimize the health of their immune system and simulate and predict its future ability to respond to diseases.

Why the immune system? The human immune system is the consummate starting point for biological twin development because of its broad medical significance. It spans every level of biological organization: genes, metabolism, cells, blood, tissues, organs, etc. It is implicated in 80+ autoimmune diseases, 400+ primary immune disorders, thousands of immune-inducing allergens, and millions of annual infections, and is further implicated in a much broader spectrum of systemic biological responses, including chronic diseases, wound healing, and trauma responses. It is also one of the most complex human systems.

To fully understand the etiology and pathology of systemic diseases, Digital Twin Innovation Hub is developing technology capable of integrating multiple mathematical approaches to fully represent and predict the governing mechanisms at each biological level and simultaneously across all levels to develop a Digital Twin of the human immune system. Integration with state-of-the-art computing and artificial intelligence is needed because the algorithms used to simulate and interrogate the dynamics for even one cell type - which can comprise billions of individual cells - are computationally expensive to solve for even a fraction of the actual cell count. Digital Twin Innovation Hub is also developing advanced visualizations that can represent the intricacies of the immune system while facilitating engagement with the technology by multidisciplinary audiences.

Our team is composed of computational- and experimental scientists, and software- and Artificial Intelligence/Machine Learning engineers. Want to leverage your skills to usher in the era of personalized disease modeling?

The Digital Twin Innovation Hub is currently seeking skilled and experienced individuals to fulfill a variety of full-time temporary staff roles including:

• Multi-scale Modeling / Computational Biologist / Bioinformatician - Research Scientist
• Artificial Intelligence (AI) / Machine Learning (ML) - Research Scientist
• Experimental Immunologist - Research Scientist

Pay rate varies by position, based on the duties, and shall be determined by HR prior to formal offer.
About Us

At the University of Nebraska-Lincoln, we're proud to be consistently recognized by Forbes as a top employer, known for our welcoming and supportive work 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 real 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:

As an EO employer, the University of Nebraska considers qualified applicants for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See

Minimum Required Qualifications

For all positions:

• Ability to thrive in a fast-paced, interdisciplinary team.
• Excellent communication skills.
• Ability to work on site in Lincoln, NE.

Multi-scale Modeling / Computational Biologist / Bioinformatician - Research Scientist (Temporary)

• 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 with agent-based, biophysical modeling, or multi-scale modeling; OR
• 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.

Artificial Intelligence (AI) / Machine Learning (ML) Research Scientist (Temporary)

• PhD in systems biology, AI, ML, engineering, mathematics, biological engineering, biophysics, or related field plus two (2) years of post-degree experience designing and applying AI/ML methods; OR
• Master's degree in systems biology, AI, ML, engineering, biological engineering, biophysics, or related field plus four (4) years of post-degree experience designing and applying AI/ML methods
• Experience working with immunological, clinical (including medical health records), or human biological data (e.g., -omics, flow cytometry, etc.) is required.
• Advanced forecasting, data collection, interpretation, and analytical skills are required.
• Advanced competence in multiple approaches, such as neural ODEs, LLMs, bayesian, Lasso, large language models, and ensembling methods is required

Experimental Immunologist Research Scientist (Temporary)

• PhD in immunology, pathology, virology, microbiology, or related field plus two (2) years of post-degree experience; OR
• Master's degree in immunology, pathology, virology, microbiology, or related field plus four (4) years of post-degree experience;
• Diagnostic lab experience in ELISA, immunoassays, microbiology, and biochemistry is required;
• Experience working on research projects pertaining to human immunology is required

Preferred Qualifications

Multi-scale Modeling / Computational Biologist / Bioinformatician - Research Scientist (Temporary)

• Experience with clinical-level drug development processes is preferred.
• Experiencing working with software developers is preferred.

Experimental Immunologist Research Scientist (Temporary)

• Serology and hematology are preferred
• Experience working with clinical trials, drug discovery, or pharmacokinetics is preferred

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
Salary commensurate with education and experience

How to Apply

Click on "Apply for this Job". You will then either create an application or edit your current application that is on file. You will be required to attach your curriculum vitae, cover letter and list of professional references as three (3) separate documents in MS Word or PDF format.

For questions or accommodations related to this position contact

Niveen Dineh
ndineh2@
402-472-4545

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?
Yes

If Temporary, indicate end date

Planned Hire Date:
As soon as possible.

Appointment End Date