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Mathematical Modeling Postdoc Jobs in Utah (NOW HIRING)

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Focus on system and data integration, algorithm development and computational modeling of the ... D. degree in Biology, Computer Science, Engineering, Math/Stats, or related life sciences field.

Postdoctoral Fellow I

Logan, UT · On-site

$42K - $57K/yr

Focus on system and data integration, algorithm development and computational modeling of the ... D. degree in Biology, Computer Science, Engineering, Math/Stats, or related life sciences field.

Mathematical Modeling Postdoc information

What is the difference between Mathematical Modeling Postdoc vs Data Scientist?

AspectMathematical Modeling PostdocData Scientist
Required CredentialsPhD in Mathematics, Applied Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; PhD preferred
Work EnvironmentAcademic research institutions, universities, research labsCorporate, tech companies, startups, or consulting firms
Industry UsageResearch projects, academic publications, grant-funded studiesBusiness analytics, product development, data-driven decision making
Common Search & ComparisonYesYes

While both roles involve analytical skills and data handling, Mathematical Modeling Postdocs focus on academic research and developing theoretical models, whereas Data Scientists apply data analysis techniques to solve practical business problems. The choice depends on whether you prefer research-oriented work or industry applications.

What does a Mathematical Modeling Postdoc do?

A Mathematical Modeling Postdoc conducts advanced research using mathematical techniques to analyze and solve complex real-world problems in fields such as biology, engineering, physics, or social sciences. They typically develop and apply mathematical models, run simulations, analyze data, and interpret results to support scientific or industrial projects. Postdocs in this role often collaborate with interdisciplinary teams, publish research findings, and may also assist in mentoring students or contributing to grant proposals.

What are some common challenges faced by Mathematical Modeling Postdocs when transitioning from academic research to collaborative industry projects?

Mathematical Modeling Postdocs often encounter challenges when moving from academic research to industry settings, particularly in adapting to faster-paced timelines and working within interdisciplinary teams. In industry, projects may require quick prototyping and the ability to communicate complex mathematical concepts to non-experts, such as engineers or business stakeholders. Building effective collaborations and aligning research goals with organizational objectives can also be a significant adjustment. However, these challenges provide valuable experience and broaden career prospects in both academia and industry.

What are the key skills and qualifications needed to thrive as a Mathematical Modeling Postdoc, and why are they important?

A Mathematical Modeling Postdoc requires an advanced degree (typically a PhD) in mathematics, applied mathematics, or a related quantitative field, along with strong analytical and problem-solving abilities. Expertise with programming languages such as Python, MATLAB, or R, and experience with simulation software or computational tools, are commonly expected. Strong communication, collaboration, and critical thinking skills help in presenting findings and working effectively within research teams. These competencies are vital for developing robust models, interpreting complex data, and contributing to innovative research outcomes.
What are popular job titles related to Mathematical Modeling Postdoc jobs in Utah? For Mathematical Modeling Postdoc jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling Postdoc jobs in Utah look for? The top searched job categories for Mathematical Modeling Postdoc jobs in Utah are:
Postdoctoral Fellow I

Postdoctoral Fellow I

Utah State University

Logan, UT • On-site

$42K - $57K/yr

Full-time

Posted 20 days ago


Utah State University rating

7.3

Company rating: 7.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

330th of 560 rated colleges and universities


Job description

Project Description: The Kaundal Artificial Intelligence and Advanced Bioinformatics Lab, KAABiL (https://kaabil.net/) at the Center for Integrated BioSystems (CIB), Department of Plants, Soils, & Climate, Utah State University (USU), is inviting applications for a Postdoctoral Research Fellow under the recently awarded grant to investigate the mechanisms of Host-Pathogen interactions on a genome scale. The project, entitled “Decoding the Poultry-HPAI Interactome: An Integrative Pipeline for Targeted herapeutics Against Highly Pathogenic Avian Influenza” will address the mechanisms of pathogenesis and develop novel therapeutics to address HPAI control in poultry (e.g. comparative analysis of multiple host-pathogen Protein Interaction Networks (PINs) that may allow us to identify conserved mechanisms of pathogen cellular invasion), and (ii) provide bioinformatics solutions / tools to curate and visualize such PINs in a user-friendly way, leading to advance host-targeted antiviral discovery


This position is for 2 years but may be longer contingent upon funding and performance.


  • Develop systems bioinformatics approaches including Machine Learning-based to decipher host-pathogen interaction networks in diverse Avian and HPAI strains.
  • Focus on system and data integration, algorithm development and computational modeling of the interactions among pathogen proteins and host proteins using diverse data types or properties.
  • Specific responsibilities include: (i) Comprehensive computational mapping of avian-HPAI host-pathogen interactions, including proteomic and transcriptomic approaches, (ii) In silico drug target identification and therapeutic candidate screening, e.g.
  • Structure-based computational screening using molecular docking, highthroughput virtual screening, and molecular dynamics (MD) simulations, and (iii) Implementation of a public database and predictive tool development, an intuitive UI for hypothesis testing and exploratory research.
  • In addition, the candidate is also expected to explore the applicability of these tools on relevant host-pathogen interaction systems.

Minimum Qualifications:

  • Ph.D. degree in Biology, Computer Science, Engineering, Math/Stats, or related life sciences field.
  • Programming skills with Python, R, Java, C/C++, or Perl, and efficiency in Linux / UNIX operating systems.
  • Independent problem-solving skills.
  • Have good communication skills, strong team-work spirit, and self-learning abilities

Preferred Qualifications:

  • Ph.D. degree in Computational Biology, Genomics, Bioinformatics, Computer Science or highly related field.
  • Experience in developing Machine Learning-based models and large-scale data analysis systems.
  • Knowledge about PINs, graphical models such as the dynamic Bayesian networks.

Along with the online application, please attach:

1. Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under “Resume/CV”

2. Statement of your research interests to be uploaded at the beginning of your application in the Candidate Profile under “Documents 1-10”

3.Three professionl references with contact information

**Document size may not exceed 10 MB.**


Commensurate with experience, plus excellent benefits

Employees work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes. The employee is regularly required to sit and often uses repetitive hand motions.


Founded in 1888, Utah State University is Utah’s premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact.

USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State’s 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state.

Competing at the NCAA Division I level in 16 sports, USU is a proud member of the Pac-12 Conference, officially joining on July 1, 2026. The Aggies capped a historic final season in the Mountain West by capturing nine combined regular-season and tournament titles in 2025–26, with five teams advancing to postseason play. This tradition of excellence extends to the classroom, where 232 student-athletes earned academic honors, and to the community, where USU ranked second nationally in Division I service hours, with nine teams placing in the top 10 for community service.

Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU. 

The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university’s ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu. 

*updated 07/2026


In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law.

Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law.

Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities.

In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.

The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU’s non-discrimination policies:

Matthew Pinner

Executive Director

Civil Rights & Title IX Office

matthew.pinner@usu.edu

435-797-1266 | Old Main Rm. 401D

1475 Old Main Hill, Logan, UT 84322

Cody Carmichael

Title IX Coordinator

cody.carmichael@usu.edu

435-797-1266 | Old Main Rm. 402D

1475 Old Main Hill, Logan, UT 84322

For further information regarding non-discrimination, please visit crtix.usu.edu or contact:

U.S. Department of Education

Denver Regional Office

303-844-5695| OCR.Denver@ed.gov

U.S. Department of Education

Office of Assistant Secretary for Civil Rights

800-421-3481 |  OCR@ed.gov

*updated 10/2025


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