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Full Time Postdoctoral Math Jobs in Texas (NOW HIRING)

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Full Time Postdoctoral Math information

What is a full time postdoctoral math position?

Full time postdoctoral math positions are temporary research roles typically held by individuals who have recently earned a Ph.D. in mathematics or a related field. These positions allow researchers to further develop their expertise, work on advanced mathematical projects, and publish scholarly articles under the mentorship of senior faculty. The roles are usually full-time, lasting from one to three years, and can serve as a stepping stone to academic careers or advanced research positions in industry.

What skills and qualifications are needed to thrive as a full time postdoctoral math researcher?

To thrive as a Full Time Postdoctoral Math researcher, you need an advanced degree (typically a PhD in Mathematics), strong analytical skills, and a robust research background in your mathematical field. Experience with programming languages (such as Python or MATLAB), mathematical software (like LaTeX or Mathematica), and a solid publication record are often expected. Exceptional problem-solving abilities, clear scientific communication, and effective collaboration make candidates stand out. These skills and qualities are crucial for producing impactful research, publishing in top journals, and contributing to academic and interdisciplinary teams.

What are common challenges faced by full time postdoctoral math researchers, and how can they be addressed?

Full-time postdoctoral math researchers often encounter challenges such as balancing independent research with collaborative projects and managing the pressure to publish regularly. Navigating expectations from both supervisors and funding agencies can also be demanding. Building a strong professional network and seeking mentorship can help overcome these challenges, while effective time management and clear goal-setting are essential for maintaining research productivity and career progression.

What is the difference between Full Time Postdoctoral Math vs Research Scientist?

AspectFull Time Postdoctoral MathResearch Scientist
Required CredentialsPhD in Mathematics or related fieldMaster's or PhD in relevant field, often with specialized expertise
Work EnvironmentAcademic institutions, universities, research labsResearch organizations, industry labs, corporate R&D
Employer & Industry UsagePrimarily academia, government researchIndustry sectors like tech, finance, pharmaceuticals
Common Search & ComparisonYesYes

Full Time Postdoctoral Math roles focus on academic research and teaching, often in universities, requiring a PhD. Research Scientist positions are more industry-oriented, involving applied research in corporate or government settings, with a broader range of qualifications. Both roles involve research but differ mainly in environment and application focus.

What cities in Texas are hiring for Full Time Postdoctoral Math jobs?

Cities in Texas with the most Full Time Postdoctoral Math job openings:

Infographic showing various Full Time Postdoctoral Math job openings in Texas as of September 2026, with employment types broken down into 100% Full Time. Highlights an 56% In-person, and 44% Remote job distribution.

Postdoctoral Fellow - Bioinformatics & Computational Biology

Houston, TX • On-site

MD Anderson Cancer Center
Health Care and Social Assistance • 10K+ employees

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 21 days ago


MD Anderson Cancer Center rating

8.5

Company rating: 8.5 out of 10

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Job description

A full-time postdoctoral fellow position is available in Dr. Ye Zheng's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center. We are seeking a highly motivated and dedicated postdoctoral researcher to join our dynamic, hybrid, and highly collaborative lab. This computational postdoctoral fellow candidate is expected to leverage single-cell/bulk-cell multi-omics, spatial omics, and pathological imaging data to reveal the cancer-specific mechanisms underlying the differential efficacies and toxicities of treatments across patients. This position offers an exciting opportunity to contribute to pioneering biological, clinically important and methodologically challenging problems by innovating cutting-edge statistical models, computational methods and AI agent skills. This position provides extensive training in grant writing, with a focus on prestigious early career development grants such as the K99 and Damon Runyon awards.
Dr. Zheng's lab works on problems at the interface of statistical, computational and biomedical sciences. The lab has developed methods to decipher gene cis-regulatory mechanisms from transcriptomics, epigenomics, proteomics and three-dimensional (3D) chromatin interaction perspectives.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
The postdoctoral fellow will achieve the following learning goals: (1) develop rigorous and reproducible statistical and machine learning methods for integrating multi-modality cancer datasets, with strong benchmarking and uncertainty awareness, and deliver these methods as well documented computational tools; (2) build AI pathology models that convert tissue morphology into quantitative features to support downstream molecular interpretation, including deconvolution and harmonization approaches for robust comparison across patients, cohorts, and tissue types; (3) create agentic AI workflows that automate analysis from data ingestion and quality control to interpretation and report generation, with emphasis on transparency, auditability, and scalability on high performance computing systems; (4) conduct integrative modeling of 3D genome organization and cross platform cell surface protein measurements to improve gene regulation insight and cell type and state characterization; (5) develop professional skills through structured mentorship in manuscript writing, scientific communication, and career development applications, including K99 R00 and Damon Runyon.
ELIGIBILITY REQUIREMENTS
Candidates with a Ph.D. in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, Engineering, Data Science, or a related field are encouraged to apply.
1. Solid training in statistics and mathematics:
Past course or research training in statistics, including but not limited to mathematical statistics, statistical inference, and linear regression.
2. Strong computational skills:
• Proficient in developing computational tools and modern AI agent-related workflows.
• Proficient in programming languages R, Python, and Shell, has extensive experience in using high-performance computing environments on Linux servers, and knows how to submit batch-run jobs.
• Experienced in processing and analyzing bulk/single-cell genomic data, spatial omics data, or image data.
• Ability to conduct highly organized and reproducible research.
3. Genomics knowledge:
Have experience working on genetic or genomic data. Can interpret the biological findings.
4. Strong communication, writing, and collaboration ability.
5. First, co-first, corresponding, or co-corresponding publications and reprints under review on computational and/or statistical methodology development are required to demonstrate academic writing ability.
ADDITIONAL APPLICATION INFORMATION
Lab website and potential research project descriptions: https://compbiowizard.github.io./
To apply, please email the following to Dr. Ye Zheng at yzheng8@mdanderson.org.
(1) a cover letter describing past contributions to the field, future research plan, career development plan, scientific motivation and interests that align with Dr. Zheng's lab,
(2) a curriculum vitae that includes publications and GitHub links to past project codes or developed software
(3) emails and phone numbers of a list of three references
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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