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Full Time Statistics Postdoc Jobs (NOW HIRING)

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Full Time Statistics Postdoc information

How much will MIT postdoc earn in 2026?

A full-time statistics postdoc at MIT typically earns between $50,000 and $65,000 annually, depending on experience and funding sources. Salaries are often adjusted for inflation and may include benefits such as health insurance and research stipends. Precise figures for 2026 will depend on institutional budgets and postdoctoral pay scales at that time.

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 are Full Time Statistics Postdocs?

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.

How much do PhD statisticians make?

Full-time statisticians with a PhD typically earn between $80,000 and $130,000 annually, depending on experience, industry, and location. Postdoctoral research positions often start at lower salaries but can lead to higher-paying roles with additional expertise in statistical software and data analysis methods.

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.

What is the highest salary for a postdoc?

The highest salary for a full-time statistics postdoctoral researcher can vary depending on the institution, location, and funding, but it typically ranges up to $70,000 to $100,000 annually for experienced professionals with strong research backgrounds and specialized skills. Some positions in high-cost areas or with additional responsibilities may offer higher compensation, especially with additional grants or industry collaborations.

What is the postdoc trap?

The postdoc trap refers to the cycle where early-career researchers, including full-time statistics postdocs, remain in temporary postdoctoral positions for extended periods without progressing to permanent roles. This can lead to job insecurity and limited career advancement, often due to competitive academic job markets and the expectation to publish and gain specialized skills. Recognizing this trap involves understanding career pathways beyond academia and developing transferable skills for industry roles.
More about Full Time Statistics Postdoc jobs
What cities are hiring for Full Time Statistics Postdoc jobs? Cities with the most Full Time Statistics Postdoc job openings:
What are the most commonly searched types of Statistics Postdoc jobs? The most popular types of Statistics Postdoc jobs are:
What states have the most Full Time Statistics Postdoc jobs? States with the most job openings for Full Time Statistics Postdoc jobs include:
Infographic showing various Full Time Statistics Postdoc job openings in the United States as of June 2026, with employment types broken down into 3% Full Time, 87% Part Time, and 10% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Postdoctoral Scholar - Department of Statistics

Postdoctoral Scholar - Department of Statistics

University of Washington

Seattle, WA • On-site

$5K - $6K/mo

Full-time

Posted 8 days ago


University Of Washington School Of Medicine rating

7.8

Company rating: 7.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

173rd of 536 rated colleges and universities


Job description

Description
Tyler McCormick and colleagues are seeking a full-time Postdoctoral Scholars (12-month service period) to collaborate in research and join an interdisciplinary team working on methodology, data collection, and analysis directed by scientific questions in the social and health sciences.
The scope of the position is open. Potential projects include, but are not limited to:
  • Improving data collection efficiency and accuracy in link-tracing designs (e.g. Respondent driven sampling)
  • Partial graph data collection strategies for networks (e.g. Aggregated Relational Data)
  • Large scale models for anomaly detection on graphs
  • Developing models to represent structure in networks using low dimensional manifolds
  • Modeling demographic and health trends in low-resource settings
  • Developing a decision-making framework for policy decisions based on predictions from statistical and machine learning models

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 (https://hr.uw.edu/labor/academic-and-student-unions/uaw-postdocs/uaw-postdoc-contract).
The base salary range for this position will have a full-time monthly salary range of $5,705 - $6,498 per month, commensurate with experience and qualifications, or as mandated by a U.S. Department of Labor prevailing wage determination.
Qualifications
Applicants must have a Ph.D. in Statistics, Computer Science, Economics, Sociology, or related field.
Application Instructions
Applicants should submit a cover letter, a statement describing your experience and commitment to diversity, equity and inclusion, curriculum vitae, names of three references, and PDFs of any relevant papers not published or available online. All application materials should be submitted via Interfolio.
Review of applications will begin immediately, though applications received by April 30, 2025 are guaranteed full consideration and review of applications will continue until the position is filled. Please email Tyler (tylermc@uw.edu) if you're interested and would like to discuss potential projects. Please see thmccormick.github.io for further information.