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Mathematical Modeling Postdoc Jobs (NOW HIRING)

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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?

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.
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Mathematical Modeling Postdoc jobs near you
Infographic showing various Mathematical Modeling Postdoc job openings in the United States as of August 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 94% In-person, 2% Hybrid, and 4% Remote job distribution.

Postdoctoral Fellow, Anesthesiology

UTMB Health

Galveston, TX

$46K - $62K/yr

Full-time

Re-posted 21 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

270th of 887 rated healthcare providers

Job description

MINIMUM QUALIFICATIONS:

  • Ph.D., M.D. or Doctoral equivalent in any field. Scientific research experience.

JOB DESCRIPTION:

The postdoctoral fellow will conduct, report and present research in his/her field of study under the supervision of a faculty mentor. This is a training position and is not expected to be a permanent position.

ESSENTIAL JOB FUNCTIONS:
The Functional Lung Imaging Laboratory in the Department of Anesthesiology at UTMB is seeking a highly motivated postdoctoral fellow to contribute to research focused on understanding the early determinants of acute lung dysfunction and injury, particularly those associated with mechanical ventilation and systemic inflammation. Our laboratory utilizes advanced Positron Emission Tomography (PET) and Computed Tomography (CT) techniques. We are looking for a candidate interested in pursuing an independent academic career in lung functional imaging, involving both animal and human studies, and the acquisition of physiological measurements during experiments

PREFERRED QUALIFICATIONS:

  • Background in engineering, physics, or other quantitative sciences 
  •  Advanced knowledge in signal processing, image processing and analysis, including the use of AI techniques, numerical analysis, image registration, mathematical modeling, and tracer kinetics
  • Creative and systematic approach to complex problem-solving
  • Ability to work both independently and within a team 
  •  Excellent organizational and problem-solving skills
  • Programming experience in MATLAB, Python, and LabView
  • Experience in animal or human research, including clinical studies
  • Knowledge of respiratory pathophysiology

SALARY:
Commensurate with experience. 

Equal Employment Opportunity

UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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