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Phd In Statistics Jobs in Ohio (NOW HIRING)

$85K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in engineering, statistics, applied math, operations research, or similar * 5 ... PhD in related field; or High School Diploma or equivalent and 9 years relevant experience. * 3 ...

Biostatistician Lead

Beavercreek, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master's degree or PhD in Biostatistics, Statistics, Epidemiology (quantitative focus), Mathematics, or related quantitative discipline. * EIGHT (8) or more years of professional experience applying ...

PhD in analytical chemistry, physical chemistry or similar discipline * 0-5 years of experience ... Experience in statistics * Candidate should be motivated to develop into a company expert in ...

PhD in analytical chemistry, physical chemistry or similar discipline * 0-5 years of experience ... Experience in statistics * Candidate should be motivated to develop into a company expert in ...

Lead Data Scientist

Columbus, OH · On-site

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields * Advanced machine learning modeling and/or technical expertise ...

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields * Advanced machine learning modeling and/or technical expertise ...

Statistics and data science are integral to our business and there are exciting opportunities for ... PhD in Chemical Engineering or Material Science; or MA with +5 industrial experience * Coding ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Advanced degree (MSc or PhD) in Biostatistics, Statistics, or a closely related quantitative field. * Nice to have: Experience as lead statistician on pivotal/registrational studies, authoring or ...

Senior Analyst* (26.29)

Dayton, OH · On-site

$83K - $110K/yr

Master's degree (MPH, MS) or PhD in: * Biostatistics * Statistics * Data Science * Epidemiology * Public Health (with quantitative emphasis) * Mathematics * or a closely related quantitative ...

Senior Analyst*

Dayton, OH · On-site

$82K - $108K/yr

Master's degree (MPH, MS) or PhD in: * Biostatistics * Statistics * Data Science * Epidemiology * Public Health (with quantitative emphasis) * Mathematics * or a closely related quantitative ...

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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.

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.

What cities in Ohio are hiring for Phd In Statistics jobs?

Cities in Ohio with the most Phd In Statistics job openings:

Infographic showing various Phd In Statistics job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution.

Graduate Research Assistant - Statistical Analysis (Student)

Case Western Reserve University

Cleveland, OH • On-site

Full-time

Re-posted 13 days ago


Case Western Reserve University rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

34th of 618 rated colleges and universities


Job description

Description
The Marian K. Shaughnessy Nurse Leadership Academy at the Frances Payne Bolton School of Nursing, Case Western Reserve University, is seeking graduate students currently pursuing a Master of Science in Statistics to assist with data analysis and research support for nurses in Hong Kong. These nurses are working on evidence-based or research-focused projects, and the selected graduate students will play a crucial role in analyzing and interpreting the data they have collected.
Key Responsibilities:
  • Work directly with nurses in Hong Kong on various evidence-based or research-focused projects.
  • Assist in cleaning and checking data to ensure accuracy and integrity.
  • Help nurses define variables of interest for their research.
  • Conduct quantitative analysis for each assigned project, including descriptive statistics (means, standard deviations, frequencies), t-tests, Mann-Whitney U-test, Pearson correlation coefficients, and multiple regressions.
  • Perform qualitative analysis, as needed for each assigned project, including content analysis and coding using NVivo15 software.
  • Assist with the interpretation of project results and findings.
  • Provide remote support, coordinating work around your own schedule.

Job Details:
  • Remote work with flexible scheduling options.
  • Each project is anticipated to require 4-5 hours of work maximum.
  • Opportunity to gain experience in healthcare research and international collaboration.

Qualifications
  • Must be enrolled in the Master of Science or PhD in Statistics program at Case Western Reserve University.
  • Strong proficiency in statistical analysis and quantitative methods is required as this will be the majority of the work.
  • Experience with SPSS is required.
  • Experience with R and RStudio for statistical analysis is preferred but not required.
  • Experience with qualitative analysis, particularly using NVivo15 software, is preferred but not required.
  • Attention to detail and the ability to clean and manage data effectively is essential.
  • Strong written and verbal communication skills for collaborating with nursing professionals.
  • Ability to work independently, manage tasks efficiently, and meet deadlines with minimal supervision.

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