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Statistical Engineering Jobs in Oregon (NOW HIRING)

OR · On-site

This is an exciting opportunity to lead Natera's Statistical Programming team, specifically focused on advancing our oncology portfolio through high-impact, practice-changing clinical trials. As a ...

Director, Statistical Programming

OR · Remote

$235K - $248K/yr

Director Statistical Programmer The Director Statistical Programing (SP) reports to the SVP, Biometrics and is accountable for the production of SDTM and ADAM datasets and Tables, Listings, and Graph ...

In this vital role you will provide both strategic oversight and hands-on statistical programming support to enable high-quality and timely clinical trial deliverables. This role is part of the ...

Clients rely on us to answer questions that demand an objective and multidisciplinary approach-one that integrates expertise across social, statistical, data, and laboratory sciences, engineering ...

OR · On-site

Provides statistical programming support as needed. May participate in Data Safety MonitoringBoard (DSMB) and/or Data Monitoring Committee (DMC) activities, including charter development and serving ...

OR · On-site

As a Staff Biostatistician, you will leverage your strong applied statistics expertise to drive the strategy and execution of complex validation experiments for multiple high-priority projects. The ...

The Senior Data Analyst will support data analysis, reporting, statistical programming, and analytics activities associated with strategic AI initiatives, research operations, and enterprise ...

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... and basic statistical data analysis on tooling design, process development, and improvements * Designed tooling and process development in low volume (engineering builds) and high volume (mass ...

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The wafer fab process engineer will collaborate with product R&D teams to make decisions on process quality based on data and statistical analysis. Duties and Responsibilities * Develop fundamental ...

OR · On-site

Proficiency is statistical programming languages (e.g., SAS or Python). * Proven expertise in advanced and complex statistical methodologies, including experience with adaptive designs or Bayesian ...

Collaborate with Data Engineers to validate source data and develop data pipelines that feed into machine learning workflows * Translate analytical findings and statistical models into measures of ...

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Statistical Engineering information

See Oregon salary details

$65.4K

$76.7K

$85.6K

How much do statistical engineering jobs pay per year?

As of Jun 20, 2026, the average yearly pay for statistical engineering in Oregon is $76,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,200.00 and $81,900.00 per year, depending on experience, location, and employer.

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

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

What engineers make $300,000 a year?

Senior statistical engineers or data science leaders with extensive experience, advanced skills in statistical modeling, programming, and data analysis can earn $300,000 or more annually. These roles often require advanced degrees, certifications, and leadership responsibilities in industries like finance, technology, or pharmaceuticals.

What do statistical engineers do?

Statistical engineers develop and implement statistical models and methods to analyze complex data, often focusing on process improvement and quality control. They use tools like statistical software and programming languages such as R or Python and collaborate with data scientists and engineers to optimize systems and decision-making processes.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in financial engineering can earn $500,000 or more annually, often including bonuses and stock options. High compensation typically requires extensive experience, advanced skills, and working in high-demand industries or leadership positions.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

How much does a Statistical Engineer make?

The average salary for a Statistical Engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals in this role often use statistical software and data analysis tools, and advanced skills can lead to higher compensation.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.
What job categories do people searching Statistical Engineering jobs in Oregon look for? The top searched job categories for Statistical Engineering jobs in Oregon are:
What cities in Oregon are hiring for Statistical Engineering jobs? Cities in Oregon with the most Statistical Engineering job openings:

Director of Statistical Programming

Natera

OR • On-site

Other

Posted 22 days ago


Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

48th of 103 rated laboratories


Job description

This is an exciting opportunity to lead Natera's Statistical Programming team, specifically focused on advancing our oncology portfolio through high-impact, practice-changing clinical trials. As a Director, you will provide strategic and technical oversight for all statistical programming activities supporting the clinical validation and utility of Natera's cutting-edge molecular diagnostics tests. The ideal candidate possesses a proven track record, strong leadership and communication skills, and a deep expertise in clinical trials, programming, and regulatory deliverables.
PRIMARY RESPONSIBILITIES:

Team Leadership: Build, mentor, and direct a high-performing statistical programming team, fostering technical excellence and overseeing their professional development.

Functional Oversight: Provide strategic direction and standards for the programming function, securing alignment with oncology clinical development goals and department infrastructure needs.

Submission Leadership: Act as the primary programming lead for regulatory submissions (e.g., 510(k), CTA/CDx, and PMA), ensuring all deliverables meet rigorous global standards.

Analysis & Reporting: Direct the generation and validation of analysis datasets and TLFs, ensuring data integrity and regulatory compliance with ICH, GCP, and FDA 21 CFR Part 11.

Development, Standards, and Validation: Lead the development, validation, and review of efficient R code to support statistical analyses and deliverables. Enforce departmental standards for programming maintenance and code integrity. Facilitate cross-functional standards (eCRF design, DMPs).

Infrastructure: Lead the development and maintenance of scalable programming infrastructure for the larger Biostatistics department.

Interdisciplinary Partnership: Partner with Biostatistics, Clinical Operations, Data Management, and Regulatory to integrate programming expertise into clinical study execution.

QUALIFICATIONS:

  • Minimum 10 years of relevant industry experience supporting clinical trials in diagnostics, biotechnology, pharmaceuticals, or related industries. At least 5 years leading a team.
  • Advanced degree in Biostatistics, Statistics, Computer Science, or a related field.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Expert working knowledge of R for clinical trial reporting; experience maintaining statistical packages and computing environments under version control
  • In-depth knowledge of CDISC standards including SDTM and ADaM
  • Proven track record of producing high-quality analysis output for regulatory audiences (FDA) and internal stakeholders.
  • Proven record of hiring, mentoring, and developing a successful, productive team
  • Demonstrated ability and enthusiasm for working on cross-functional teams with members of diverse technical backgrounds
  • Exceptional problem-solving skills and attention to detail
  • Prior experience with NGS, genetics, and/or oncology molecular diagnostic testing a plus

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