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Full Time Statistics Postdoc Jobs (NOW HIRING)

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 ...

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 ...

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 ...

POSITION SPECIFICS The Department of Statistics at The Pennsylvania State University, invites ... BENEFITS Penn State provides a competitive benefits package for full-time employees designed to ...

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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 Research Associate

Full-time

Posted 4 days ago


University Of Nebraska Medical Center rating

8.5

Company rating: 8.5 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

49th of 998 rated hospitals


Job description

GENERAL REQUISITION INFORMATION
EEO Statement:
UNMC is an Equal Employment Opportunity Employer, including an equal opportunity employer of protected veterans and individuals with disabilities.
Location Omaha, NE Requisition Number: 2025 - 291 Department Neurological Sciences 50001975 Business Unit(College/Institute) College of Medicine FTE:
100
Reg-Temp Full-Time Regular Work Schedule As directed by supervisor Requisition Category Research - Academic Requisition Title Postdoctoral Research Associate Job Title/Academic Rank Postdoctoral Research Associate Additional Requisition Title Appointment Type A1 - REG OTHER ACAD SAL Salary Range Salary Commensurate with Experience Job/EEO Category Professional Non-Faculty (Includes Other Academic) Job Requisition Begin Date 12/16/2025
Position Qualification
Position Summary
The WANG Lab at the University of Nebraska Medical Center's Department of Neurological Sciences is seeking a Postdoctoral Research Associate. The Postdoctoral Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics, including but not limited to, disease diagnosis/prognosis, biomarkers identification and treatment prediction, etc.
Required Qualifications:
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.

Questions may be directed to Dr. Jieqiong Wang at jiwang@unmc.edu
Required Qualifications
  • A PhD by time of hiring in a relevant field. Relevant fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering.
  • Experience in deep learning, machine learning and medical imaging processing
  • Programming experience: Python, MATLAB, SPSS, Shell.
  • Experience in working with Linux workstation.
  • Excellent organizational and time-management skills and ability to self-direct work.
  • Ability to work as a team member.
  • Excellent verbal and written communication skills.
Supplemental Qualifications

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