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Phd In Statistics Jobs in Indiana (NOW HIRING)

USM

Data Scientist

Columbus, IN · On-site

Education Requirements MINIMUM MSc in Statistics, Mathematics, Computer Science; PhD preferred. this is a fixed fee project for the duration of 9 weeks. Thanks & Regards! Parthu Srinivas IT Recruite ...

Salesforce, Inc.

Lead, Workforce Intelligence

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Master's or PhD in a highly quantitative or computational research field (e.g., Computer Science, Data Science, I/O Psychology, Econometrics, or Statistics). * Experience : 5+ years of experience in ...

Pae

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, develop, and deploy machine learning, artificial intelligence, and advanced statistical ... Advanced degree (MS or PhD) in AI, machine learning, data science, or related field * Experience ...

Elanco

Advisor R&D

Indianapolis, IN · On-site

  • Retirement

  • PTO

PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics, Bioinformatics, Computational Chemistry), or a Master's degree with substantial handson ML/CV ...

New

QualStaff Resources

Materials Engineer

New Albany, IN

$85K - $120K/yr

... data using statistical analysis tools. * Detail-oriented with good time management skills ... PhD in Chemistry, Metallurgy or Materials Science with 3-5 years of experience. The company is an ...

Pae

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Graduate degree (MS, PhD, etc.) linked to data analytics (e.g., math, physics, computer science) or ... Statistical package expertise in IBM SPSS/PASW, R, STATA or MS Excel statistics. Compensation ...

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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 modeling across industries such as healthcare, finance, technology, and government. Graduates often work as data scientists, quantitative analysts, research scientists, or statisticians, 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.

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.

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

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

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

Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Indiana as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Senior Principal Research Scholar: Epigenetics (Indianapolis)

Purdue University

Indianapolis, IN • On-site

Full-time

Re-posted 19 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

312th of 618 rated colleges and universities

Job description

Senior Principal Research Scholar: Epigenetics (Indianapolis)
City: Indianapolis
Job Description:
Job Summary
Are you a driven scientist passionate about the genetics and epigenetics of mental health? The Dunn Lab at Purdue University, led by Dr. Erin C. Dunn, is seeking a Senior Principal Research Scholar-Epigenetics to contribute to pioneering research that integrates social and biological sciences to address mental health challenges. In this role, you will function as a senior research scientist, supporting the science of the Dunn Lab. You will oversee day-to-day research operations focused on computational genetics and epigenetics, contributing to study design, data analysis, and the mentorship of lab members. This position offers career stability outside the tenure track and the chance for additional experience and mentorship.
The Senior Principal Research Scholar: Epigenetics will work in close collaboration with the Lab Principal Investigator (Dr. Dunn) to design and direct research projects related to the epigenetic work of the Dunn Lab. You will be instrumental in developing new studies, leading a multidisciplinary team, and ensuring the success of our research projects. You will be one of two research scholars in the lab, with the other focused on the lab's novel work using baby teeth to understand mental health. This position offers career stability outside the tenure track and the chance for additional experience and mentorship. Learn more about our research at the Dunn Lab and Purdue University in Indianapolis.
Responsibilities Include:
  • Oversee day-to-day operations of computational based genetics and epigenetics research projects.
  • Lead study design, data collection, analysis, and reporting.
  • Oversee day-to-day supervision and mentoring lab members, including postdoctoral fellows and research assistants.
  • Contribute to grant writing, including identifying funding opportunities and assembling applications.
  • Write and present scholarly work for both academic and broader audiences.
  • Present findings at national and international conferences.
  • Co-develop long-term research strategies in collaboration with Dr. Dunn.
  • Execute tasks with a high attention to detail.
  • Self-start tasks and find areas for improvement throughout the lab.

What We're Looking For:
Required:
Education and Experience:
  • PhD in epidemiology, public health, genetics, epigenetics, or another social or biological science.
  • Five years of research experience, two or more are post-doctoral.
  • Epigenetics and statistical research background in an academic setting.
  • Experience working with longitudinal omics-related data.
  • A working knowledge of R and data analysis pipelines.
  • Experience supervising teams of 3 or more members.

Skills Needed:
  • Experience in fast-paced, multi-disciplinary research environment.
  • Strong knowledge data analysis pipelines.
  • Advanced knowledge of statistical and epidemiological study design.
  • Proven ability to learn new computational tools and packages.
  • Ability to handle multiple projects simultaneously.
  • Understanding of data management and data analysis workflows.
  • Excellent written and verbal communications skills.
  • Ability to work independently and as part of a team.
  • Ability to interpret acceptability of data.
  • High degree of computer literacy.
  • Careful attention to detail.
  • Good organizational skills.
  • Ability to identify problems and develop solutions.

What is Helpful:
  • Advanced knowledge of statistical and epidemiological study design in an academic research setting.
  • Prior experience with cross-disciplinary collaborations and departments in an academic setting.
  • Past experience in teaching, instruction, or mentorship.

Additional Information:
  • For full consideration, please include an updated cover letter and resume with your application materials.
  • Purdue University will not sponsor employment authorization for this position
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible for Overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period

Career Stream
Professional 4
Pay Band S125
Job Code #20003718
Equal Opportunity Employer
Purdue University is an EO/EA University.

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