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Statistical Engineering Jobs in Oregon (NOW HIRING)

Natera

OR

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 ...

Mineralys Therapeutics

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 ...

Syneoshealth

OR

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 ...

Natera

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 ...

Ultragenyx Pharmaceutical

Director, Biostatistics

OR · Remote

Provides timely support to the project teams on all statistical matters according to the project strategies and is responsible for addressing all administrative functions required for project ...

New

Aptive

Data Analyst, Sr - AI Research Systems Support

$85K - $108K/yr

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

RLA Engineering LLC

Be Seen First

Mechanical Tooling and Process Engineer

Corvallis, OR · On-site

$76K - $100K/yr

... statistical process control methods and close gaps where possible o Maintain target yields o ... Bachelor's degree in Mechanical Engineering, Engineering Mechanics, Industrial Engineering, or ...

RLA Engineering LLC

Be Seen First

Mechanical Tooling and Process Engineer

Corvallis, OR · On-site

$76K - $100K/yr

... statistical process control methods and close gaps where possible o Maintain target yields o ... Bachelor's degree in Mechanical Engineering, Engineering Mechanics, Industrial Engineering, or ...

Columbia

Principal Data Scientist

Portland, OR

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

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 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 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 are popular job titles related to Statistical Engineering jobs in Oregon? For Statistical Engineering jobs in Oregon, the most frequently searched job titles are:
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:
Statistical Engineering jobs near you
Director of Statistical Programming

Director of Statistical Programming

Natera

OR

Other

Re-posted 15 days ago

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

51st of 105 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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