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Phd Statistics Jobs in Oregon (NOW HIRING)

Expertise in Statistical Process Control (SPC) and Design of Experiments (DOE) principles. Preferred Qualifications: * PhD in Engineering, Physical Sciences, Computer Science, or a related field and ...

Applied Scientist

OR · On-site +1

... statistics, and machine learning methods. * Experience designing experiments or validation analyses to assess model accuracy, reliability, or predictive performance. Preferred Qualifications * PhD in ...

Staff Analyst

OR · On-site +1

$61K - $81K/yr

PhD in a quantitative field (e.g., Statistics, Mathematics, Economics, Finance, Operations Research, Physics, or related) * Experience and familiarity with finance, especially as it related to ...

PhD in a STEM discipline such as Electrical Engineering, Materials Science, Applied Physics ... Experience with experimental design, data collection, and statistical analysis * Ability to analyze ...

Applied Scientist

OR · On-site +1

PhD in Mathematics, Statistics, Economics, Operations Research or a related field (or its equivalent) * Knowledge of causal machine learning methods and modeling approaches. * Ability to translate ...

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

Showing results 21-40

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.

Yield Development Engineer

Intel

Hillsboro, OR

Full-time

Medical, Retirement, PTO

Re-posted 14 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

18th of 160 rated electronics manufacturers


Job description

Job Details:Job Description: 

Embark with us on a journey of growth and transformation as we create exceptionally engineered technology and bring AI everywhere. As a valued team member, your adaptability and attention to detail will contribute to our drive for results and relentless pursuit of quality, ensuring we meet our customers' needs with precision.

Join us and build on our legacy of innovation and collaboration as we deliver worldchanging technology that improves the life of every person on the planet.

Life at Intel: https://jobs.intel.com/en/life-at-intel

As a Yield Development Engineer, you will play a critical role in advancing Intel's cutting-edge semiconductor technologies. You will be part of a team responsible for driving yield improvement strategies that span the entire lifecycle of a technology node, from research and development through high-volume manufacturing. Your contributions will directly influence Intel's ability to maintain its leadership in the semiconductor industry, ensuring the success of innovative silicon solutions that shape the future of computing. Collaborating with cross-functional teams, you will develop methods and tools to analyze vast data sets, identify yield limiters, and implement process changes that enable Intel to achieve its yield milestones. This role promises an opportunity to shape groundbreaking technologies and generate impactful advancements for the industry and beyond.

Responsibilities will include but will not be limited to:

  • Perform statistical analysis to construct accurate process development roadmaps and drive technology yield milestones.
  • Analyze and consolidate diverse data sources to identify defect modes and create yield models.
  • Develop multivariate algorithms for high-volume data analysis to identify root cause yield limiters.
  • Extract insights from structured and unstructured data using machine learning, coding techniques, and advanced statistical methods.
  • Collaborate with process integration, defect engineering, and electrical fault isolation teams to debug yield detractors and propose solutions.
  • Conduct fault isolation and failure analysis to determine the root cause of yield-impacting issues.
  • Develop tools and systems that transform manufacturing data into actionable yield improvement strategies.
  • Work closely with design teams to resolve product-related yield issues and improve manufacturability.
  • Execute new product introductions and participate in factory task forces to ensure process optimization.
Qualifications:

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates Experience listed below would be obtained through a combination of your schoolwork, classes, research and/or relevant previous job and/or internship experiences.

Minimum Qualifications:

  • Bachelor's degree in Engineering, Physical Sciences, Computer Science, or a related field and 4+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR
  • Master's degree in Engineering, Physical Sciences, Computer Science, or a related field and 3+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology; OR
  • PhD in Engineering, Physical Sciences, Computer Science, or a related field.
  • 1+ years of experience in the following:
    • Proficiency in data analysis systems, and machine learning techniques.
    • Optical probing or metrology.
    • Expertise in Statistical Process Control (SPC) and Design of Experiments (DOE) principles.

Preferred Qualifications:

  • PhD in Engineering, Physical Sciences, Computer Science, or a related field and 2+ years of experience in semiconductor processing, semiconductor devices, or nanotechnology.
  • 1+ years of experience in fault isolation, failure analysis tools, and techniques such as electrical testing, and layout studies.
  • Proven ability to collaborate in cross-functional teams and matrixed organizations.
  • Strong project management skills with demonstrated self-initiative and ability to drive strategic objectives in complex environments.
  • Expertise in semiconductor physics and advanced device interactions modeling.
  • Experience maintaining and troubleshooting semiconductor equipment.
  • Demonstrated ability to develop and present yield strategies to technical and business stakeholders.
  • Proficiency in yield modeling methodologies

Take advantage of this opportunity to join Intel and shape the future of engineering. Apply today to be part of a team that drives industry-leading innovation and transformation.

Interview Tips: https://www.intel.com/content/www/us/en/jobs/hiring.html

Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:Posting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $133,800.00-255,200.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968