| 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:
Pay rate varies by position, based on the duties, and shall be determined by HR prior to formal offer.
The University of Nebraska-Lincoln is consistently recognized as a top employer by Forbes, offering a supportive work environment, robust professional development, and comprehensive benefits, making UNL the premier choice for career growth in the state.
We invest in our employees through benefits like:
We are looking for talented individuals like you to join our team and make a difference!
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 (.50FTE) or greater. Those appointed for six months or less are not eligible for benefits. Benefits for eligible temporary employees include the following: health, dental, vision and life insurance. The University of Nebraska-Lincoln seeks to attract and retain a high performing and collaborative workforce. UNL is committed to providing a work environment and culture that fosters personal and professional success where every person and every interaction matters. The University is proud to be one of Nebraska’s preferred and largest employers where individuals are able to participate and contribute to their full potential. As an EO/AA employer, qualified applicants are considered 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: http://www.unl.edu/equity/notice-nondiscrimination
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| Minimum Required Qualifications |
For all positions:
Multi-scale Modeling / Computational Biologist / Bioinformatician – Research Scientist (Temporary)
Artificial Intelligence (AI) / Machine Learning (ML) Research Scientist (Temporary)
Experimental Immunologist Research Scientist (Temporary)
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| Preferred Qualifications |
Multi-scale Modeling / Computational Biologist / Bioinformatician – Research Scientist (Temporary)
Experimental Immunologist Research Scientist (Temporary)
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| 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.
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| For questions or accommodations related to this position contact |
Niveen Dineh
ndineh2@unl.edu 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 |
Supplemental Questions
Required fields are indicated with an asterisk (*).
- * This position requires the ability to work on site in Lincoln, NE. If you are offered this position, are you willing to relocate to Lincoln, NE within 60 days of hire, at your own expense?
- Yes
- No
Required Documents
Required Documents
- Cover Letter
- Curriculum Vitae
- List of References
Optional Documents
