ZipRecruiter

Log In

1

Phd In Statistics Jobs (NOW HIRING)

The University of North Carolina

Hold or anticipate a PhD in Statistics or closely related discipline by August 1, 2027 Preferred Qualifications Additional consideration will be given to candidates who also have one or more of the ...

previous pagenext page

Showing results 21-40

All JobsScience JobsPhd In Statistics Jobs

Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in academia, research, data science, and analytics, often requiring strong analytical and programming skills. While it offers high-level expertise and potential for higher salaries, it also involves significant time and financial investment, and job prospects depend on industry demand and individual specialization.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, statisticians, quantitative analysts, or research scientists, utilizing skills in statistical software, programming, and data interpretation to solve complex problems. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.
More about Phd In Statistics jobs

What cities are hiring for Phd In Statistics jobs?

Cities with the most Phd In Statistics job openings:

What states have the most Phd In Statistics jobs?

States with the most job openings for Phd In Statistics jobs include:

What job categories do people searching Phd In Statistics jobs look for?

The top searched job categories for Phd In Statistics jobs are:

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 79% Full Time, 18% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Postdoctoral Research Fellow at University of Wisconsin-Madison

Madison, WI • On-site

Statistics Interest Group
See more jobs at Statistics Interest Groupexternal

$60K - $75K/yr

Other

Posted 13 days ago

Job description

University of Wisconsin–Madison – Postdoctoral Research Fellow at University of Wisconsin–MadisonCompany Name University of Wisconsin–MadisonPosition Title Postdoctoral Research Fellow at University of Wisconsin–MadisonCompany Information

The University of Wisconsin–Madison is a leading public research university with a strong tradition in statistics, biostatistics, biomedical research, and interdisciplinary collaboration. The
campus provides a vibrant research environment, excellent computational resources, and extensive opportunities for collaboration with biomedical scientists, clinicians, and public health
researchers.

Duties and Responsibilities

The fellow will work with Dr. Zhengzheng Tang (https://tangzheng1.github.io/tanglab/) and collaborators on methodological
and applied research involving multi-omics data, including microbiome/metagenomics, genetics,
genomics, and related biomedical data.

Responsibilities may include:
  • Conducting independent and collaborative research projects
  • Developing statistical and machine-learning methods for biomedical and omics data
  • Implementing computational tools and reproducible software
  • Designing and conducting simulation studies
  • Analyzing real-world biomedical, clinical, and omics datasets
  • Interpreting results and preparing manuscripts for peer-reviewed journals
  • Collaborating with biologists, clinicians, and healthcare researchers
Position Qualifications

Applicants should have, or expect to receive, a PhD in biostatistics, statistics, bioinformatics,
computational biology, computer science, data science, or a related quantitative field.

Preferred qualifications include:
  • Strong training in statistical methods, machine learning, or quantitative biomedical research
  • Proficiency in R, Python, or another programming language
  • Experience with simulation studies, real data analysis, or software implementation
  • Strong written and oral communication skills
  • Ability to work independently and collaboratively
  • Interest in solving real-world biomedical and public health problems

Experience with omics data is preferred
but not required.

Salary Range $60,000–$75,000 per year

The position is available immediately and will remain open until filled. The initial appointment
is for one year, with the possibility of renewal for a second and/or third year depending on
satisfactory performance and funding availability.

#J-18808-Ljbffr

Apply