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Full Time Statistics Postdoc Jobs (NOW HIRING)

The Pennsylvania State University

BENEFITS Penn State provides a competitive benefits package for full-time employees designed to ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...

The Pennsylvania State University

BENEFITS Penn State provides a competitive benefits package for full-time employees designed to ... The ASR includes crime statistics and institutional policies concerning campus security, such as ...

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Full Time Statistics Postdoc information

What are the key skills and qualifications needed to thrive as a full time statistics postdoc, and why are they important?

A Full Time Statistics Postdoc requires advanced knowledge of statistical theory, research methodologies, and a Ph.D. in statistics or a related field. Experience with statistical programming languages such as R, Python, or SAS, as well as familiarity with data analysis software and reproducible research tools, is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish standout candidates. These competencies are crucial for conducting high-level research, collaborating with interdisciplinary teams, and disseminating complex findings to diverse audiences.

What is a full time statistics postdoc?

Full Time Statistics Postdocs are early-career researchers who have recently earned a Ph.D. in statistics or a closely related field and are employed in a full-time, temporary position at a university, research institute, or industry lab. Their primary focus is conducting advanced research, often collaborating with faculty members or research teams, and publishing their findings in academic journals. These positions are designed to help postdocs further develop their research skills, expand their academic network, and prepare for permanent roles in academia or industry.

What are the typical research and collaboration expectations for a full time statistics postdoc?

As a Full Time Statistics Postdoc, you'll typically engage in both independent and collaborative research projects, often working alongside faculty members and fellow postdocs. You may be expected to contribute to ongoing grant-funded studies, co-author publications, and present findings at conferences. Collaboration with interdisciplinary teams—including scientists, data analysts, and students—is common, fostering a dynamic learning environment. Balancing your own research interests with project goals is a common challenge, but it also provides valuable experience that can help you build a strong academic or industry career.

What is the difference between Full Time Statistics Postdoc vs Data Scientist?

AspectFull Time Statistics PostdocData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often prefers experience
Work EnvironmentAcademic or research institutions, universitiesCorporate, tech companies, or startups
Employer & Industry UsageResearch-focused roles in academia or governmentIndustry-focused roles in technology, finance, healthcare

Full Time Statistics Postdocs primarily work in academic or research settings, focusing on advanced statistical research and publications. Data Scientists work in industry, applying statistical and machine learning techniques to solve business problems. While both roles require strong statistical skills, Postdocs emphasize research and theory, whereas Data Scientists focus on practical data analysis and product development.

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Full Time Statistics Postdoc jobs near you
Infographic showing various Full Time Statistics Postdoc job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Postdoctoral Scholar - Statistical Diversity Lab

University of Washington

Seattle, WA • On-site

$84K/yr

Full-time

Re-posted 23 days ago

University Of Washington School Of Medicine rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 618 rated colleges and universities

Job description

Description
The Department of Biostatistics at the University of Washington has an outstanding opportunity for a Postdoctoral Scholar.
The Statistical Diversity Lab, led by Dr. Amy Willis, is one of the most respected international groups developing methods for the analysis of microbiome data (https://statdivlab.github.io/). The StatDivLab develops cutting-edge statistical methodology to address the most important methodological needs of microbiome scientists. Software, outreach and training complement their research mission.
The StatDivLab is seeking a Postdoctoral Scholar with PhD-level training and research experience in either Statistical Methodology or Microbial Bioinformatics. Please see below for expected qualifications.
The research project undertaken by the Postdoctoral Scholar will be tailored to the background and interests of the candidate, with possible projects in methods for emerging experimental designs (e.g. absolute quantification through spike-ins; multi-omic datasets), microbial phylogenetics, variable importance, model selection, trait prediction, and uncertainty quantification.
Substantial professional development opportunities are available, including travel and speaking opportunities at international conferences and workshops and engaged mentoring towards long-term professional goals.
This is an in-person position based in Seattle, WA. It is a full-time (100% FTE), 12-month/year position, with an initial appointment length of one year and the possibility of renewal. The preferred start date is September 1, 2026, but the date is negotiable. Salary for this position ranges from $68,460/year ($5,705/month) to $84,240/year ($7,020/month) with benefits, and is commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination.
Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website.
Qualifications
Minimum qualifications:
  • For applicants to the Statistical Methodology track:
    • PhD or equivalent in Statistics, Biostatistics, or a related field.
    • At least one published contribution in statistical methodology. This could include nonparametric, semiparametric, or resampling-based methods, with applications in any applied field.
    • A genuine interest in applying methods to contemporary datasets.
  • For applicants to the Microbial Bioinformatics track:
    • PhD or equivalent in Computational Biology, Microbiology, or a related field.
    • At least one published contribution in computational biology, microbiology, or a related field.
    • Research experience with shotgun sequencing data, including most of the following: working with public databases, assembly, annotation, binning, SNV profiling, and distributed computing infrastructure (cluster and/or cloud).
    • An interest in learning contemporary statistical methods.
  • For all applicants:
    • Strong written and oral communication skills.
    • Strong skills in project management and time management.
    • Proficiency in R, python, C++, Java or bash as demonstrated through a record of open-source software distribution.

Desired qualifications:
  • For applicants to the Statistical Methodology track:
    • Experience with microbiome, genomics or tree-valued data.
  • For applicants to the Microbial Bioinformatics track:
    • Familiarity with machine learning methods.
    • Experience with anvi'o databases.
  • For all applicants:
    • Multiple publications in the field of the candidate's expertise.

Application Instructions
The position will remain open until filled, but priority consideration will be given to applications received on or before July 17, 2026. Applications will only be accepted via Interfolio.
Applications should include the following materials:
  • Cover letter highlighting professional background, research interests, qualifications for this position, and career goals. Applications whose cover letters are AI-generated will not be considered.
  • Curriculum vitae (maximum 4 pages)
  • 2 representative academic works
  • Contact information for 2 references

Please send inquiries about the application process to Zoe Kool, Academic Human Resources Manager, at biostathr@uw.edu.

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