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Postdoctoral Position Ecological Modeling Jobs in Dallas, TX

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How much do postdoctoral position ecological modeling jobs pay per year?

As of Sep 6, 2026, the average yearly pay for postdoctoral position ecological modeling in Dallas, TX is $58,386.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $65,800.00 per year, depending on experience, location, and employer.

What is a postdoctoral position in ecological modeling?

A postdoctoral position in ecological modeling is a temporary research role, typically held after earning a PhD, focused on using mathematical, statistical, or computational models to study ecological systems. Postdocs in this field often work on projects related to ecosystem dynamics, species interactions, conservation strategies, or climate change impacts. These roles involve designing models, analyzing data, publishing research, and sometimes mentoring students. The goal is to advance scientific knowledge and develop professional skills for future independent research or academic positions.

What are some typical collaborative opportunities for postdoctoral researchers in ecological modeling?

Postdoctoral researchers in ecological modeling often work closely with interdisciplinary teams, including ecologists, data scientists, and climate researchers. Collaboration may involve co-developing models, sharing datasets, and jointly publishing research findings. Many institutions encourage postdocs to participate in grant writing, workshops, and conferences, which can further expand professional networks and lead to new collaborative projects. This collaborative environment helps postdocs develop diverse skill sets and build a strong foundation for future independent research or academic positions.

What are the key skills and qualifications needed to thrive as a postdoctoral researcher in ecological modeling?

To excel as a Postdoctoral Researcher in Ecological Modeling, you need a Ph.D. in ecology, environmental science, or a related field, with strong quantitative and analytical skills. Experience with statistical modeling software (such as R or Python), GIS applications, and ecological simulation tools is typically required. Strong communication, problem-solving abilities, and collaborative teamwork are essential soft skills in this role. These competencies are crucial for developing robust ecological models, interpreting complex data, and effectively sharing findings with scientific and stakeholder communities.

What is the difference between Postdoctoral Position Ecological Modeling vs Postdoctoral Position Conservation Biology?

AspectPostdoctoral Position Ecological ModelingPostdoctoral Position Conservation Biology
Required CredentialsPh.D. in Ecology, Environmental Science, or related field; strong quantitative skillsPh.D. in Ecology, Conservation Biology, or related field; focus on fieldwork and policy
Work EnvironmentResearch labs, computational settings, data analysisField sites, research institutions, policy agencies
Employer & Industry UsageUniversities, research institutes, government agencies

Postdoctoral Position Ecological Modeling focuses on developing and applying computational models to understand ecological systems, while Postdoctoral Position Conservation Biology emphasizes field research and policy work to protect species and habitats. Both roles require a Ph.D. and are common in academic and research settings, but differ in their primary methods and focus areas.

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For Postdoctoral Position Ecological Modeling jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Position Ecological Modeling jobs in Dallas, TX look for?

The top searched job categories for Postdoctoral Position Ecological Modeling jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Postdoctoral Position Ecological Modeling jobs?

Cities near Dallas, TX with the most Postdoctoral Position Ecological Modeling job openings:

Postdoctoral Position Ecological Modeling jobs near you
Infographic showing various Postdoctoral Position Ecological Modeling job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $58,386 per year, or $28.1 per hour.

POSTDOCTORAL RESEARCHER-Biomedical Data Science & AI-Epidemiology-Ruan Lab [Req#: 963199, Position#:

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 3 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

111th of 898 rated healthcare providers

Job description

Description
POSTDOCTORAL RESEARCHER
A postdoctoral fellow position is now available in the laboratories of Dr. Peifeng Ruan (https://qbrc.swmed.edu/labs/ruanlab/) at the Quantitative Biomedical Research Center (QBRC) in the Peter O'Donnell Jr. School of Public Health at UT Southwestern Medical Center, Dallas. The labs' research focuses on developing and applying advanced computational and AI methods to address critical challenges in biomedical research and clinical practice.
The training activities of this position will include data management, curation, and analysis of large-scale biomedical and clinical datasets, including proteomics, metabolomics, single-cell transcriptomics and spatial transcriptomics data; development and/or implementation of novel statistics, machine learning and AI approaches; integration of molecular, cellular, spatial, imaging, and clinical data; interpretation and presentation of analysis results; and writing manuscripts. We are actively seeking exceptionally motivated individuals with outstanding problem-solving abilities. In this role, you will conduct cutting-edge research at the intersection of artificial intelligence and biomedical sciences, with opportunities to collaborate with clinical investigators and industry partners.
Information on our postdoctoral training program, benefits, and a virtual tour can be found at https://www.utsouthwestern.edu/research/postdoctoral-scholars/.
Qualifications
Candidates with a Ph.D. in computer science, bioinformatics, data science, machine learning, or a related quantitative field are encouraged to apply. Experience with one or more of the following areas is desirable: single-cell transcriptomics and spatial transcriptomics, knowledge graphs, large language models, or analysis of real-world clinical data (e.g., electronic health records, claims databases, or pharmacovigilance databases).
Application Instructions
Interested individuals should send a CV and a list of three references to:
Peifeng Ruan
Peifeng.Ruan@UTSouthwestern.edu

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