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Phd In Statistics Jobs (NOW HIRING)

There are important knowledge gaps in specialized areas like Statistics , and we need your ... PhD in Statistics from a top US, UK, Canadian, or European university Work experience: 2+ years of ...

PhD in Statistics or a related quantitative field with at least 4 years post-degree experience or MS/MSc in Statistics (or related quantitative field) with 7+ years of clinical development experience

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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.
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:
Infographic showing various Phd In Statistics job openings in the United States 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.

$60 - $80/hr

Part-time

Posted 11 days ago


Job description

This role is for one of Weekday's clients.
We are currently helping hire for one of the leading AI labs (via one of our partners); supporting them in training their AI models.
Have you ever wondered how LLMs generate expert-level answers and wanted to contribute to their improvement? There are important knowledge gaps in specialized areas like Statistics, and we need your expertise to help make these models much stronger (and in turn, expand human understanding of these fields).
Requirements
What exactly would you do?
  • You'd be guiding research teams to close knowledge gaps and enhance AI model performance in the Statistics domain.
  • You will be designing and evaluating complex statistical problems and solutions while providing clear, written feedback.

Requirements
Education: PhD in Statistics from a top US, UK, Canadian, or European university
Work experience: 2+ years of academic (research/teaching) or professional (scientist, researcher, or engineer) experience
Skills: Strong attention to detail, excellent written and verbal communication skills, and proficiency in English
Location: Remote (must be based in the US, UK, Canada, or Europe)
Benefits
Compensation: $60 to $80 per hour
Time commitment: 15-20 hours per week (with the possibility of increasing to ~40)
Project duration: Minimum 1-2 months, with rolling extensions
Fully remote, asynchronous work offering flexibility and autonomy
You will be engaged as an independent contractor and paid weekly via Stripe Connect