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Statistics Postdoc Jobs in Texas (NOW HIRING)

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site

$64K - $76K/yr

ELIGIBILITY REQUIREMENTS Applicants must have a recent PhD in biostatistics or statistics from a ... POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64 ...

Tamus

Postdoctoral Research Associate

College Station, TX · On-site

$4.5K/mo

Job Title Postdoctoral Research Associate Agency Texas A&M Agrilife Research Department Agriculture ... Experience conducting quantitative data analysis, including univariate and multivariate statistics ...

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All JobsStatistics Postdoc JobsStatistics Postdoc Jobs in Texas

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$10

$31

$66

How much do statistics postdoc jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for statistics postdoc in Texas is $31.13, according to ZipRecruiter salary data. Most workers in this role earn between $20.93 and $35.30 per hour, depending on experience, location, and employer.

What is a statistics postdoc?

A Statistics Postdoc is a temporary research position for individuals who have recently earned a Ph.D. in statistics or a related field. It typically involves conducting advanced research, developing new statistical methods, analyzing complex data, and collaborating with faculty and other researchers. Postdocs may also teach, publish papers, and contribute to grant writing. The position helps early-career researchers gain experience before pursuing faculty or industry roles.

What types of projects and collaborations can a statistics postdoc typically expect to be involved in?

As a Statistics Postdoc, you will likely contribute to a range of research projects, often partnering with faculty, graduate students, and professionals from diverse disciplines such as public health, engineering, or biology. These collaborations may involve developing new statistical methodologies, analyzing large or complex data sets, and publishing findings in peer-reviewed journals. You may also have opportunities to mentor junior researchers and present your work at conferences. This collaborative and dynamic environment offers valuable experience for building a strong academic or industry-focused research career.

What are the key skills and qualifications needed to thrive in a statistics postdoc position, and why are they important?

To thrive as a Statistics Postdoc, you need an advanced degree (usually a Ph.D.) in statistics or a closely related field, with strong analytical, mathematical, and research skills. Familiarity with statistical software such as R, Python, SAS, or MATLAB, and experience in data management or computational modeling are typically expected. Excellent problem-solving skills, effective communication, and the ability to work collaboratively enhance your effectiveness in multidisciplinary research teams. These skills are important because postdoctoral researchers must generate rigorous scientific results while contributing to scholarly publications and advancing ongoing research projects.

What are the most commonly searched types of Statistics Postdoc jobs in Texas?

The most popular types of Statistics Postdoc jobs in Texas are:

What are popular job titles related to Statistics Postdoc jobs in Texas?

For Statistics Postdoc jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Statistics Postdoc jobs in Texas look for?

The top searched job categories for Statistics Postdoc jobs in Texas are:

Statistics Postdoc jobs near you
Infographic showing various Statistics Postdoc job openings in Texas as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $64,756 per year, or $31.1 per hour.

POSTDOCTORAL RESEARCHER - McDermott Center HG&D - Seplyarskiy Lab [Req#: 911441, Position#: 127940]

UT Southwestern Medical Center

Dallas, TX • On-site

$114K/yr

Full-time

Re-posted 24 days ago

UT Southwestern rating

7.9

Company rating: 7.9 out of 10

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Job description

Description
Postdoctoral Researcher in Mutagenesis, Population and Statistical Genetics
A postdoctoral training opportunity is now available in the Seplyarskiy Lab in the McDermott Center for Human Growth and Development at UT Southwestern Medical Center at Dallas. We are currently accepting applications for a postdoctoral fellowship in mutagenesis, statistical genomics, and computational biology.
Research directions
  • Mutagenesis: evolution of mutational mechanisms across the tree of life; somatic mutagenesis and clonal dynamics; reconstruction of early developmental lineages from mosaic mutations.
  • Population genetics: quantifying recurrence and number of mutational origins in large cohorts; discovery of strongly selected sites and constraint from recurrence-aware models.
  • Statistical genetics: partitioning heritability and enrichment in DNA-repair and mutagenesis pathways (including cancer-relevant contexts); development of mutation rate model

Training & environment
  • Close mentorship in mutagenesis, population genetics, and statistical genetics
  • Active joint journal clubs with external groups (Ziyue Gao - UPenn, Evan Koch - Yale), collaborative community at UTSW's McDermott Center.
  • Access to large datasets (e.g., biobanks, gnomAD-class resources) and compute.

Responsibilities
  • Formulate and test new quantitative models of mutation, selection, and clonal evolution.
  • Develop methodstailored to large-scale genomic datasets.
  • Lead analyses, interpret results and drive manuscripts to completion.
  • Collaborate on related work across the lab's projects.

Qualifications
• Ph.D. (or equivalent, or soon to be completed) in Statistics, Biostatistics, Computer Science, Population/Statistical Genetics, Bioinformatics/Computational Biology
• Proficiency in R and/or Python/ or other languages
• Plus factors: experience with method development, exposure to population-genetic theory (selection, demography, coalescent/ARG), mutational-process modeling, scalable data engineering, cloud/HPC, or ancient DNA.
Application Instructions
Interested individuals should send a CV, cover letter briefly describing previous research experience, and a summary of current research interests.

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