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Phd Statistician Jobs in Indiana (NOW HIRING)

micro1 AI

Research Consultant - Physics AI

Fishers, IN · Remote

$80 - $140/hr

... stage PhD candidacy, with active research experience in a relevant subfield. * Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics ...

Pae

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 ...

Jobs for Humanity

Postdoctoral Fellows

Bloomington, IN · On-site

$45K - $61K/yr

Completed PhD in biostatistics, statistics, computer science, or a related discipline. Strong skills in statistical model development and implementation. Prior knowledge in clinical trial research is ...

MMS

Senior Biostatistician - Remote (US)

Zionsville, IN · On-site

College graduate in Biostatistics, Statistics, or Mathematics discipline or related field, masters or PhD preferred, or many years of related experience required. * Minimum of 5 years' experience in ...

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Phd Statistician information

See Indiana salary details

$48.1K

$82.7K

$110.9K

How much do phd statistician jobs pay per year?

As of Aug 21, 2026, the average yearly pay for phd statistician in Indiana is $82,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $93,700.00 per year, depending on experience, location, and employer.

What does a PhD Statistician do?

A PhD Statistician is an expert in the field of statistics who typically conducts advanced research, develops new statistical methods, and applies complex statistical techniques to solve real-world problems. They often work in academia, government, healthcare, or industry to design experiments, analyze data, and interpret results. Their work helps organizations make informed decisions based on quantitative evidence, and they may also publish research findings or teach at the university level.

What are the key skills and qualifications needed to thrive as a PhD Statistician?

To thrive as a PhD Statistician, you need advanced expertise in statistical theory, data analysis, and research methodology, typically backed by a doctoral degree in statistics or a related field. Proficiency in statistical programming languages such as R, SAS, or Python, and experience with data management systems are commonly required. Strong critical thinking, communication, and problem-solving skills help you effectively interpret data and convey complex findings to diverse audiences. These skills are crucial for producing rigorous analyses, supporting evidence-based decisions, and advancing research in various industries.

How does a PhD Statistician typically collaborate with multidisciplinary teams in a research or industry setting?

PhD Statisticians often work closely with professionals from fields such as biology, engineering, medicine, or business to design studies, analyze data, and interpret results. They play a key role in translating complex statistical concepts for non-statistical team members, ensuring that analyses are both rigorous and relevant to project goals. Effective communication and project management skills are essential, as statisticians frequently participate in meetings, provide guidance on data collection, and help shape research questions to maximize the impact of statistical analysis.

What is the difference between Phd Statistician vs Data Scientist?

AspectPhd StatisticianData Scientist
Required CredentialsPhD in Statistics, Mathematics, or related fieldBachelor's or Master's in CS, Stats, or related; often includes certifications
Work EnvironmentResearch-focused, often in academia, government, or specialized industriesBusiness and tech companies, startups, analytics teams
Employer & Industry UsageResearch institutions, government agencies, pharmaceutical companiesTech firms, finance, marketing, e-commerce
Common Search & ComparisonYesYes

While both roles involve data analysis and statistical skills, a Phd Statistician typically focuses on advanced research, theoretical modeling, and complex statistical methods, often in academic or research settings. Data Scientists tend to apply a broader range of skills, including programming and machine learning, to solve practical business problems in industry. The choice depends on your career goals and preferred work environment.

What are popular job titles related to Phd Statistician jobs in Indiana?

For Phd Statistician jobs in Indiana, the most frequently searched job titles are:

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

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

What cities in Indiana are hiring for Phd Statistician jobs?

Cities in Indiana with the most Phd Statistician job openings:

Phd Statistician jobs near you
Infographic showing various Phd Statistician job openings in Indiana as of August 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $82,711 per year, or $39.8 per hour.

Computational Physics Specialist - Remote

micro1 AI

South Bend, IN • Remote

$80 - $140/hr

Part-time

Posted 18 days ago

Job description

Role Title: Physics Expert (PhD / Postdoc)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge and problem-solving skills to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Solve advanced physics problems from your specialization, delivering rigorous, well-documented derivations and analyses.
  2. Produce technically precise, clearly written solutions, detailing all assumptions, approximations, and final results using LaTeX mathematical notation.
  3. Utilize SymPy, Python, and Jupyter for symbolic or numerical verification and clear computational workflows where relevant.
  4. Identify and articulate subtleties in problem statements, including special cases, boundary conditions, and dimensional consistency.
  5. Flag ambiguities in project materials, proposing well-reasoned interpretations and clarifications as needed.
  6. Iterate on submitted solutions in response to feedback from project reviewers, ensuring corrections are cleanly integrated.
  7. Uphold rigorous standards in documentation and reproducibility consistent with professional research practice.


Preferred Qualifications

  1. PhD in physics or advanced-stage PhD candidacy, with active research experience in a relevant subfield.
  2. Research expertise in one or more of: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter (including moiré systems, magnetism, PXP/Rydberg), AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  3. 2–5 recent representative publications (past ~5 years) in your field, with accessible arXiv or DOI records.
  4. Proficiency with LaTeX for presenting mathematics, and with SymPy, Python, and Jupyter for computational work; willingness to indicate areas for further support if needed.
  5. Demonstrated excellence in written technical communication, with a track record of producing clear, precise, and well-argued scientific outputs.
  6. Strong analytical skills, able to isolate key physical principles and provide nuanced solutions to complex problems.
  7. Availability to engage with the project consistently over an 8–10 week period (approx. 10 hours/week).

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