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Phd Statistician Jobs in Riverside, CA (NOW HIRING)

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Phd Statistician information

See Riverside, CA salary details

$52.7K

$90.7K

$121.5K

How much do phd statistician jobs pay per year?

As of Jul 28, 2026, the average yearly pay for phd statistician in Riverside, CA is $90,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $102,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Statistician, and why are they important?

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.

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 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.

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 are popular job titles related to Phd Statistician jobs in Riverside, CA? For Phd Statistician jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Phd Statistician jobs in Riverside, CA look for? The top searched job categories for Phd Statistician jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Phd Statistician jobs? Cities near Riverside, CA with the most Phd Statistician job openings:
Phd Statistician jobs near you
Infographic showing various Phd Statistician job openings in Riverside, CA as of July 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $90,682 per year, or $43.6 per hour.

Physics PhD Researcher (Remote | $80 -$100/hr)

Synthires

Fontana, CA • On-site

$80 - $100/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Physics PhD Expert

Location: Remote (U.S. / UK / Canada / Western Europe)

Engagement Type: Hourly Contract

Compensation: $80–$100/hour

About the Opportunity

This opportunity is for Physics PhD experts interested in contributing to advanced AI research and evaluation projects involving state-of-the-art large language models (LLMs).

The role involves applying advanced physics expertise to develop challenging, domain-specific problems and high-quality reference solutions that help improve the scientific reasoning, accuracy, and problem-solving capabilities of next-generation AI systems.

Areas of Expertise

Candidates should have expertise in one or more of the following physics domains:

  • Statistical Mechanics, Condensed Matter Physics & Atomic, Molecular and Optical (AMO) Physics
  • Advanced Quantum Mechanics, Electrodynamics & Classical Mechanics
  • String Theory, Quantum Field Theory (QFT), Particle Physics & Nuclear Physics
  • General Relativity, Astrophysics & Cosmology

Required Qualifications

  • Completed PhD in Physics.
  • Graduate degree from a university in the United States, United Kingdom, Canada, or Western Europe.
  • Deep subject matter expertise in at least one of the listed physics domains.
  • Strong analytical, mathematical, and scientific problem-solving skills.
  • Exceptional attention to detail and commitment to technical accuracy.
  • Excellent written and verbal communication skills.
  • Excellent proficiency in English.
  • Ability to understand and follow complex technical instructions.
  • Ability to work independently in a remote research environment.

Responsibilities

  • Develop challenging, research-level physics problems within your area of expertise.
  • Create rigorous, high-quality reference solutions and scientific explanations.
  • Review and evaluate AI-generated responses for accuracy, reasoning, and technical quality.
  • Identify errors, inconsistencies, and opportunities to improve AI-generated solutions.
  • Apply advanced physics expertise to help improve the scientific reasoning capabilities of large language models.
  • Contribute approximately 4–6 high-quality tasks per week, with each task potentially requiring several hours to complete.

Compensation

  • Competitive compensation of $80–$100/hour.
  • Weekly payments.
  • Independent contractor engagement.

Application Process

  1. Upload Resume
  2. Complete a Short AI Interview Based on Your Resume and Physics Expertise
  3. Submit Application Form

Apply