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Statistics Postdoc Jobs in Texas (NOW HIRING)

Bayesian statistics, and adaptive clinical trial design. Please send CV and information on three referees directly to yyuan@mdanderson.org. POSITION INFORMATION MD Anderson offers full-time postdoc ...

Bayesian statistics, and adaptive clinical trial design. Please send CV and information on three referees directly to yyuan@mdanderson.org. POSITION INFORMATION MD Anderson offers full-time postdoc ...

Bayesian statistics, and adaptive clinical trial design. Please send CV and information on three referees directly to yyuan@mdanderson.org POSITION INFORMATION MD Anderson offers full-time postdoc ...

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 ...

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Statistics Postdoc information

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How much do statistics postdoc jobs pay per hour?

As of Jun 29, 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 are the key skills and qualifications needed to thrive in the 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 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 is a Statistics Postdoc job?

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.

Postdoctoral Associate - cancer epidemiology

Postdoctoral Associate - cancer epidemiology

Baylor College of Medicine

Houston, TX • On-site

$62K/yr

Full-time

Posted yesterday


Baylor College of Medicine rating

8.6

Company rating: 8.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

54th of 541 rated colleges and universities


Job description

Job Title: Postdoctoral Associate - cancer epidemiology
Division: Medicine
Work Arrangement: Onsite only
Location: Houston, TX
Salary Range: $62,232
FLSA Status: Exempt
Work Schedule: Monday - Friday, 8 a.m. - 5 p.m.
Summary
The Section of Epidemiology and Population Sciences at Baylor College of Medicine invites applications for a Postdoctoral Associate position for our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional epidemiologic research methods with RWD and modern technologies, like artificial intelligence and natural language processing, for impactful cancer research. Exciting opportunities also exist to work with faculty from MD Anderson Cancer Center, Rice University and UTHealth School of Biomedical Informatics.
Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.
Job Duties
  • Analyzes large data sets.
  • Analyzes next generation sequencing data (e.g., RNA-seq, whole genome/ exome sequencing) to address complex biological and translational research questions.
  • Uses state-of-the-art bioinformatical and statistical tools.
  • Develops new statistical methods to answer biological questions that arise in the research.
  • Prepares manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
  • Ensures compliance with institutional, sponsor and data security guidelines for handling sensitive genomic and clinical data.
  • Conducts advanced analysis of large-scale biomedical and population health datasets to support ongoing research within the section.
  • Collaborates with multidisciplinary teams that includes faculty investigators, statisticians, clinicians, and trainees, in a highly team-oriented research environment.
  • Participates in the Section's sponsored training program by contributing to collaborative projects, mentoring trainees, and engaging in programmatic activities such as seminars, workshops, and collaborative research initiatives.
  • Develops methodologies and tools for use in the electronic medical records that will strengthen the Learn Health System and improve patient outcomes.
  • Performs other job-related duties as assigned.

Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.

Preferred Qualifications
  • Ph.D. in Epidemiology or Bioinformatics or related field.
  • Prior experience in analysis with real-world data, high-dimensional data, causal inference, and/or machine learning /artificial intelligence in a plus.
  • Knowledge in cancer biology or genetics is desired.
  • Excellent writing skills in English.
  • Ability to work in a team environment.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
PD; SN
Requisition ID: 25324

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