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Phd In Statistics Jobs in Michigan (NOW HIRING)

... statistical analysis for operational datasets. * Present findings to both technical and non-technical audiences. Required Qualifications Education: A Master's or PhD in Mechanical Engineering ...

Must have an undergraduate (BS) degree in Statistics, Mathematics, Econometrics, Operations Research, Public Health, and Epidemiology or another related field. * Master's degree or PhD degree is ...

Bachelors degree in mathematics, statistics, physics, pharmacology or with a strong statistical component, Masters or PhD preferred. * 5-7 years of experience in the application of medical statistics ...

Bachelor's degree in Business, Data Science, Statistics, Economics, Engineering, Computer Science, Operations Research or related field is required. Master's degree or PhD in related field is ...

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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.

What can you do with a PhD in statistics?

A PhD in statistics prepares individuals for advanced roles in data analysis, research, and consulting 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 modeling, programming, and data management. The degree also enables careers in academia and research institutions, often requiring proficiency in tools like R, Python, or SAS.

How much can you make with a PhD in statistics?

A PhD in statistics typically leads to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries often ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is a PhD in statistics worth it?

A PhD in statistics can lead to advanced roles in research, data science, and academia, 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.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling, but it does not replace the need for expert statistical judgment, interpretation, and domain knowledge. Statisticians are increasingly using AI tools and programming languages like R or Python to enhance their work, making their skills still essential in designing studies and ensuring data quality.
What cities in Michigan are hiring for Phd In Statistics jobs? Cities in Michigan with the most Phd In Statistics job openings:
Infographic showing various Phd In Statistics job openings in Michigan as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
Department of Statistics RESEARCH FELLOW

Department of Statistics RESEARCH FELLOW

University of Michigan

Ann Arbor, MI • On-site

$65K - $80K/yr

Full-time

Posted 3 days ago


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Company rating: 8.1 out of 10

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Job description

How to Apply
To apply, please submit the following materials via email to: [email protected]
  • A cover letter summarizing research experience and interests
  • Curriculum vitae, including publications and/or preprints
  • Contact information for three references

Applications will be reviewed on a rolling basis until the position is filled.
Job Summary
The Terhorst Lab in the Department of Statistics at the University of Michigan is recruiting a postdoctoral research fellow in statistical genetics and computational genomics. The position is part of a collaborative project with the University of Edinburgh and the University of Oxford focused on developing scalable methods for complex trait analysis using ancestral recombination graphs (ARGs).
Research areas include statistical/quantitative/population genetics, genealogical inference, machine learning, genetic prediction, genome-wide association studies, scalable linear mixed models, and efficient algorithms for large-scale genomic data analysis.
This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability of work, and satisfactory performance.
Responsibilities*
  • Develop novel statistical and computational methods for ARG-based quantitative genetics
  • Analyze large-scale genetic and phenotypic datasets
  • Implement scalable software and algorithms for genomic inference
  • Collaborate with researchers across statistics, genetics, and computational biology
  • Contribute to manuscripts, presentations, and open-source software development
  • Participate in interdisciplinary collaborations related to predictive breeding and genome editing
  • Travel to the United Kingdom to collaborate with project partners at the University of Edinburgh and the University of Oxford

Required Qualifications*
  • PhD in statistics, computer science, computational biology, genetics, applied mathematics, or a related quantitative field is required
  • Proof of degree completion must be in hand on or before the start date
  • Strong programming and computational skills
  • Experience with statistical modeling, machine learning, or large-scale data analysis

Desired Qualifications*
  • Experience with population genetics or statistical genetics
  • Familiarity with Bayesian methods, probabilistic modeling, or graphical models
  • Experience with scientific computing in Python, JAX, Torch, Julia, C++, or related languages
  • Experience with high-performance computing or scalable algorithms
  • Interest in interdisciplinary research spanning genomics and evolutionary biology

Modes of Work
The position is on-site in Ann Arbor, Michigan.
Additional Information
Salary and Benefits: Salary will be commensurate with experience and is expected to be in the range of $65,000 - $80,000 per year, plus benefits and a $3,000 relocation assistance bonus.
Background Screening
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.
Contact Information
Please direct questions about the position to Jonathan Terhorst at [email protected] .
Please direct questions about how to apply to: [email protected]
U-M EEO Statement
The University of Michigan is an equal employment opportunity employer.
Job Detail
Job Opening ID
277543
Working Title
Department of Statistics RESEARCH FELLOW
Job Title
RESEARCH FELLOW
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
College Of Lsa
Department
LSA Statistics
Posting Begin/End Date
5/12/2026 - 7/11/2026
Salary
$65,000.00 - $80,000.00
Career Interest
Research Fellows

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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