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Phd Statistics Jobs in Oregon (NOW HIRING)

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MS or PhD in Biostatistics, Statistics, or related field Best fit: A strong clinical statistician who loves R, building solutions, and exploring how AI can improve statistical work. Company ...

... Statistics, Data Science, Mathematics, Computer Science, or a related field with 6+ years of experience OR a Master's degree with 4+ years of experience OR a PhD with 2+ years of experience.

Sr Statistical Modeling Analyst

OR · On-site +1

$99K - $186K/yr

Coursework in statistics at either the bachelor's, master's or PhD level required. * Minimum 3 years of functional experience in statistical modeling required including credit risk modeling ...

Master's degree in biostatistics, statistics, or equivalent with 5+ years of relevant experience, or PhD in biostatistics, statistics, or equivalent with 3+ years of relevant experience * At least 3 ...

Senior Director, Biostatistics

OR · On-site +1

$290K/yr

PhD Degree in Biostatistics, Statistics, or a related field with at least 10-12 years of experience in biostatistics within the pharmaceutical, biotech, or CRO industry. * Strong knowledge of ...

MS degree with relevant internship, research, or academic project experience, or PhD with relevant ... Experience designing, running, and interpreting DOEs or statistical experiments in academic ...

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Phd Statistics information

See Oregon salary details

$23.4K

$92.6K

$171.6K

How much do phd statistics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for phd statistics in Oregon is $92,633.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,363.00 and $121,185.00 per year, depending on experience, location, and employer.

What is a PhD statistics?

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 key skills and qualifications needed to thrive in a PhD statistics position?

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.

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.

How much does a PhD statistician make?

A PhD statistician typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles or positions in finance, technology, or healthcare can offer higher salaries, especially with specialized skills in statistical programming and data analysis tools.

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.

What can I 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. These roles typically require strong analytical abilities and knowledge of statistical methods and tools like R, Python, or SAS.

What are popular job titles related to Phd Statistics jobs in Oregon?

For Phd Statistics jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Phd Statistics jobs?

Cities in Oregon with the most Phd Statistics job openings:

Infographic showing various Phd Statistics job openings in Oregon as of August 2026, with employment types broken down into 77% Full Time, 22% Part Time, and 1% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $92,633 per year, or $44.5 per hour.

Biostat III - Clinical Statistical Developer (R/AI) - LPAB

TechData Service Company LLC

OR • On-site

$80 - $85/hr

Contractor

Medical, Dental, Vision

Posted 20 days ago

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Job description

Biostatistician III – Clinical Statistical Developer (R/AI)
100% Remote | 12-Month Contract | Major Pharmaceutical Company

Looking for a hands-on clinical statistician/developer with strong R programming who enjoys solving real study-team problems—not just traditional statistical support.

  • Strong R development required; SAS helpful
  • Clinical trial/statistical analysis experience
  • Build reusable statistical tools/modules and perform ad hoc analyses
  • Work directly with study teams across therapeutic areas
  • AI/agent experience is a major plus
  • Strong communication and problem-solving skills
  • MS or PhD in Biostatistics, Statistics, or related field

Best fit: A strong clinical statistician who loves R, building solutions, and exploring how AI can improve statistical work.

Company Description

https://quantive.bio/