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Statistics Postdoc Jobs (NOW HIRING)

Statistics Interest Group

$62 - $75/hr

The lab provides a highly interdisciplinary environment spanning AI, statistics, genomics, and public health. Postdoc will receive mentorship in method development, biological collaboration, grant ...

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Statistics Interest Group

$65 - $85/hr

The position will focus on developing and applying novel statistical, machine-learning, and AI ... The postdoctoral fellow will work with Dr. Yi Li and his research group to develop innovative ...

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VS-Postdoc

$59 - $72/hr

The Postdoctoral Associatewill contribute to advanced statistical analyses, geospatial analysis, and datavisualization, as well as to the development and dissemination of findings fromNPSC-led public ...

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How much do statistics postdoc jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for statistics postdoc in the United States is $35.40, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $40.14 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.

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Statistics Postdoc jobs near you
Infographic showing various Statistics Postdoc job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 16% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $73,634 per year, or $35.4 per hour.

Postdoctoral Associate

Statistics Interest Group

On-site

$62 - $75/hr

Other

Posted 3 days ago

New

Job description

This is a current listing of job announcements related to Statistics.To submit a job for posting please use the Statistics Job Submission Form . Please note that jobs are posted within 24hrs of submission. If you have any questions, comments, or need to make acorrectionregarding your job announcement, please contact jobs@stat.ufl.edu .

Yale University, Department of Biostatistics – Postdoctoral AssociateCompany Name Yale University, Department of BiostatisticsPosition Title Postdoctoral AssociateCompany Information

The Liu Lab (https://liuq-lab.com) in the Department of Biostatistics at Yale University is looking for a highly motivated Postdoctoral Associate to join a growing research program at the intersection of generative AI, causal inference, regulatory genomics.
The Liu Lab develops statistically principled and AI-powered computational methods for analyzing massive, heterogeneous and complex biomedical datasets. We are building the next-generation computational frameworks that connect genetic variation, molecular regulation, perturbation response, and disease phenotypes. The overarching goal is to develop trustworthy AI systems that can move beyond prediction toward mechanistic understanding and causal discovery in biomedicine.
The Liu Lab builds on a strong track record in AI-powered causal inference, Bayesian generative models, and computational genomics, with recent work published in leading journals, such as JASA, Nature Communications, PNAS, Genome Biology. Yale offers an exceptional research environment, with close connections across biostatistics, computational biology, genetics, and medicine. The postdoctoral associate will also have priority access to the Yale Center for Research Computing, including a large-scale GPU infrastructure with 250+ GPUs, among them 80+ NVIDIA H200 GPUs and 60+ NVIDIA B200 GPUs.

Duties and Responsibilities

The postdoctoral associate will lead an ambitious project, focusing on building trustworthy causal AI systems to identify causal genes, regulatory elements, and molecular pathways linking genotype to phenotype. This is a highly interdisciplinary project in close collaboration with Dr. Hongyu Zhao (Biostatistics) and Dr. Steven Reilly (Genetics), integrating expertise in statistical genetics, computational genomics, and experimental genetics.
This position is ideal for candidates who want to develop cutting-edge computational methods on high-impact biomedical questions. The lab provides a highly interdisciplinary environment spanning AI, statistics, genomics, and public health. Postdoc will receive mentorship in method development, biological collaboration, grant writing, and career development. The goal is to help trainees grow into future leaders in academia or industry.

Position Qualifications

Applicants should hold or expect to soon receive a Ph.D. in computer science, computational biology, statistics, biostatistics, or a related field. Strong candidates will have experience in one or more of the following areas: deep learning, generative modeling, causal inference, foundation models or computational genomics. Strong programming skills in Python are expected, along with experience in PyTorch or TensorFlow and Linux-based high-performance computing. We especially value intellectual curiosity, creativity, strong communication skills, and enthusiasm for interdisciplinary research.

Salary Range 68500+

Interested applicants should send a CV, a cover letter briefly describing the previous research experience and future research interests, to Dr. Qiao Liu (qiao.liu@yale.edu).

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