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Phd Statistics Jobs in Indiana (NOW HIRING)

Deloitte

AI and Data Science Engineer III

Indianapolis, IN · On-site

$109K - $131K/yr

Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and ... Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML). * Experience ...

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 ...

ClinLab Solutions Group

IN

$61 - $78.25/hr

... statistical, and hybrid models. * Iterate dynamically with end users and technical stakeholders ... PhD with 7+ years or Master's with 10+ years of industry experience in life sciences, with ...

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Phd Statistics information

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$22K

$87.1K

$161.2K

How much do phd statistics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for phd statistics in Indiana is $87,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,215.00 and $113,898.00 per year, depending on experience, location, and employer.

What can I do with 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. 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 analysis, and academia, often requiring strong analytical and programming skills in tools like R or Python. 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.

How much do PhD statisticians make?

PhD statisticians typically earn between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or those in specialized fields such as data science or research can offer higher salaries, often exceeding $150,000.

What are the typical projects or research areas for someone with a PhD in Statistics?

A PhD in Statistics often works on projects involving the design and analysis of experiments, predictive modeling, advanced data analytics, and the development of new statistical methodologies. Depending on the industry, these may span sectors like healthcare, finance, technology, or government, requiring collaboration with diverse teams of subject matter experts. The role may also involve publishing research, presenting findings, and supporting organizational decision-making with evidence-based insights. This dynamic environment allows statisticians to solve real-world problems and continuously learn new analytical techniques.

What are the key skills and qualifications needed to thrive in the Phd Statistics position, and why are they important?

To thrive as a PhD in Statistics, you need advanced knowledge of statistical theory, data analysis, and research methodologies, typically backed by a doctorate in statistics or a closely related field. Expertise with statistical software such as R, SAS, Python, or MATLAB, along with experience in data management systems, is crucial. Strong problem-solving abilities, clear communication, and the capacity to work both independently and as part of interdisciplinary teams are highly valued soft skills. These qualities enable you to devise rigorous solutions to complex data challenges, effectively collaborate with colleagues, and translate findings for stakeholders.

Are statisticians highly paid?

Statisticians with a PhD often earn higher salaries compared to those with lower degrees, with median annual wages typically exceeding national averages for related fields. Their compensation depends on experience, industry, and location, and advanced skills in data analysis and statistical software can lead to higher-paying opportunities.

What is a PhD Statistics job?

A PhD Statistics job typically involves conducting advanced statistical research, developing new methodologies, and applying statistical techniques to solve complex problems in various fields such as healthcare, finance, or technology. Professionals in these roles may work in academia, government, or industry, analyzing data, designing experiments, and publishing findings. They often collaborate with interdisciplinary teams to extract insights from large datasets and improve decision-making processes.

What are the most commonly searched types of Phd Statistics jobs in Indiana? The most popular types of Phd Statistics jobs in Indiana are:
What are popular job titles related to Phd Statistics jobs in Indiana? For Phd Statistics jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Phd Statistics jobs in Indiana look for? The top searched job categories for Phd Statistics jobs in Indiana are:
What cities in Indiana are hiring for Phd Statistics jobs? Cities in Indiana with the most Phd Statistics job openings:
Phd Statistics jobs near you
Infographic showing various Phd Statistics job openings in Indiana as of June 2026, with employment types broken down into 9% Internship, 64% Full Time, 12% Part Time, and 15% Contract. Highlights an 82% In-person, 5% Hybrid, and 13% Remote job distribution, with an average salary of $87,063 per year, or $41.9 per hour.

Research Scientist

Indiana University Academic Positions

Bloomington, IN • On-site

$70/hr

Other

Posted 1 hour ago

Job description

Position Details
Title Research Scientist Appointment Status Non-Tenure Track Department IU Bloomington Psychological & Brain Sciences Location Bloomington Position Summary
Research Scientist for Indiana University Cognitive Development Lab

The Cognitive Development Lab at Indiana University-Bloomington (PI: Linda Smith) invites applications for a Research Scientist to assist in the creation and analysis of a shareable data set (of already collected data) from nearly 10,000 children ages 15 to 36 months. There is both a scientific premise and a methodological premise underlying the project.
The scientific premise is that developmental changes in visual cognition and early vocabulary development interact, with advances in visual cognition supporting early language learning and also being changed by language learning. The literature indicates multiple causal factors and inflection points that can disrupt this early stage of vocabulary growth- limitations in audition, or vision, in phonological representations, in visual attention, in the composition of early vocabularies, and in the quality and composition of language input.
The methodological premise concerns how to leverage all the data that has been already collected on these issues; experiments with many of the same overlapping measures designed with specific hypotheses in mind. The methodological premise for this project is that given some overlapping measures in the individual data sets and through the use of advanced analytic tools including machine learning and graph theoretics, one can discover multiple developmental pathways in cross-sectional data and the factors that underlie the trajectories of those pathways. These inferred pathways then can be empirically tested in longitudinal studies.
Strong applicants will have quantitative and computational training as well as experience in behavioral science, ideally in development, language, or visual cognition.
The successful applicant will have:
Excellent research track record.
Excellent programming skills.
Experience in computational and statistical methods and analyses including either graph theoretic of machine learning approaches (or both).
A track record of initiative, ability to lead a team (of undergraduates/masters students) and effective teamwork.
Fit of this project with their own career trajectory/goals
PhD in Psychology or related field


How to Apply: Interested candidates should apply at
https://indiana.peopleadmin.com/postings/26344 by submitting a cover letter describing your interests and prior experiences, CV, and contact information for three references. Applications will be accepted on an ongoing basis until the position is filled. Application review will start December 1, 2024. Anticipated start date is February 1, 2025. Start date is negotiable.

Questions regarding the position or application process can be directed to: Dr. Linda Smith (smith4@iu.edu).
Basic Qualifications
Excellent research track record.
Excellent programming skills.
Experience in computational and statistical methods and analyses including either graph theoretic of machine learning approaches (or both).
A track record of initiative, ability to lead a team (of undergraduates/masters students) and effective teamwork.
Fit of this project with their own career trajectory/goals
PhD in Psychology or related field
Department Contact for Questions
Dr. Linda Smith (smith4@iu.edu)
Additional Qualifications Salary and Rank $70-75,000, RS3 Special Instructions For Best Consideration Date 12/01/2024 Expected Start Date 02/01/2025 Posting Number IU-101078-2024

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