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Mathematical Modeling Postdoc Jobs (NOW HIRING)

Duke University

Postdoctoral Associate

Durham, NC · On-site

The Postdoctoral Associate will train under the primary mentorship of Dr. Dana Pasquale within a ... Experience with mathematical, computational, or statistical modeling * Experience developing ...

Duke University

Postdoctoral Associate

Durham, NC

The Postdoctoral Associate will train under the primary mentorship of Dr. Dana Pasquale within a ... Experience with mathematical, computational, or statistical modeling * Experience developing ...

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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.
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What job categories do people searching Mathematical Modeling Postdoc jobs look for? The top searched job categories for Mathematical Modeling Postdoc jobs are:
Mathematical Modeling Postdoc jobs near you
Infographic showing various Mathematical Modeling Postdoc job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Postdoctoral Fellow - Radiation Oncology - Research

Postdoctoral Fellow - Radiation Oncology - Research

MD Anderson

Houston, TX

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 10 days ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 169 frontline employees who took The Breakroom Quiz

27th of 890 rated healthcare providers

Job description

A position is available immediately in the area of mathematical and computational oncology, with special emphasis on biological radiotherapy response dynamics. The laboratory has identified novel mathematical modeling biomarkers to predict patient-specific responses to radiation. These models need to be rigorously calibrated and validated against clinical data, and model selection needs to be performed before prospective clinical translation. Research will be conducted in both mathematical and computational models, and rigorous analysis of model performance against clinical benchmarks.
The primary purpose of the Postdoctoral Fellow is to assist the Principal Investigator and other Faculty members with scientific research projects. The primary activity of this position is academic research in association with a faculty member or team.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
1.) Develop, implement, and solve mathematical and computational model of tumor growth and treatment response.
3.) Familiarity with MatLab and R is preferred. Ideal candidates would possess experience in multiple programming environments and statistical analyses.
4.) Training and supervising other research personnel on techniques and procedures
5.) Maintenance of laboratory safety procedures and records and facilities
6.) Collect, analyze, plot data using appropriate software applications, store and record data on computer and lab notebooks
6.) Assist in writing of scientific papers for publication, grant applications and presentations at scientific meetings
7.) Other duties as assigned
ELIGIBILITY REQUIREMENTS
Required: Ph.D. or equivalent doctorate
Experience
Required: At least 3 years of experience in mathematical modeling research work
Preferred: Experience and proven scholarship in peer-reviewed publications as a first author and presentations at major meetings.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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