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Phd Statistics Jobs in Oregon (NOW HIRING)

MS/PhD in Statistics, Economics, Applied Mathematics, or a related field. Currently Opened Roles Marketing | Sr. Data Scientist I (L5) The Marketing Data Science team is responsible for measurement ...

Staff Machine Learning Model Risk Specialist

OR · On-site +1

$98K/yr

PhD in a quantitative field of study such as statistics, econometrics, finance, mathematics; or a related discipline * 5+ years of experience in model risk management or model governance, or related ...

Design and analyze statistical experiments using DOE, regression, and AI-assisted methods to ... MS or PhD in Electrical Engineering, Physics, Chemistry, Chemical Engineering, Materials ...

MS or PhD in Electrical Engineering, Physics, Chemistry, Chemical Engineering, Materials ... Experience applying DOE, statistical analysis, and data analytics to semiconductor development.

... of experience; or a PhD with 5+ years' experience; or equivalent experience. Preferred ... Working knowledge of statistical analysis and problem-solving methodologies. Experience with ...

New

... PhD in Materials Science, Chemical Engineering, Chemistry or Physics or related field with no ... In-depth understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE)

New

... of experience; or a PhD with 5+ years' experience; or equivalent experience. Preferred ... Working knowledge of statistical analysis and problem-solving methodologies. Experience with ...

New

Data Scientist 5 - Ads Experimentation

OR · On-site +1

$372K - $600K/yr

MS or PhD in a quantitative field (e.g., Statistics, Economics, Mathematics) or equivalent practical experience. Specialized Domain Expertise: Significant experience with auction dynamics, yield ...

... of experience; or a PhD with 5+ years' experience; or equivalent experience. Preferred ... Working knowledge of statistical analysis and problem-solving methodologies. Experience with ...

New

Showing results 41-60

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.

Director, Field Translational Science - Oncology

Natera

OR • On-site, Remote

Full-time

Re-posted 24 days ago


Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

53rd of 120 rated laboratories


Job description

Director, Field Translational Science - Oncology Position Summary

Natera is shifting disease management worldwide through unprecedented molecular innovation. As the Director of Field Translational Science, you will build, scale, and lead a specialized team of field-facing translational scientists within our Oncology Business Unit. This high-autonomy leadership role is designed for a strategic builder who can run a sophisticated regional team while serving as the executive authority for advanced Natera tests - including, but not limited to, cell-free DNA (cfDNA) and minimal residual disease (MRD) assays - and their associated data analysis frameworks across elite academic medical centers.

This position requires up to 50-70% regional travel to engage with institutional leadership and audit high-priority research partnerships. You will eliminate the standard boundaries between field data generation and internal pipeline design. Distinct from traditional, education-focused Medical Affairs teams (MSLs), your organization owns the structural integrity, statistical validation, and scientific output of investigator-led data collaborations.

Primary Responsibilities
  • Team Leadership & Scale: Hire, develop, and manage a premier field organization of translational scientists, establishing clear performance metrics tied to regional data velocity, scientific rigor, and publication quality.
  • Strategic Data Architecture: Author and execute the regional data engagement strategy, guiding how field scientists partner with oncologists, pathologists, and biometricians to unlock complex ctDNA and real-world datasets; holds the institutional/enterprise escalation line for the direct day-to-day communication line with the clinicians.
  • Regional Operations & Systems Governance: Oversee the secure regional tracking architecture and data ingestion pipelines that individual Field Translational Scientists operate within; ensure absolute data compliance, system integrity, and streamlined data flow from investigator sites into internal analysis platforms. 
  • Cross-Functional Governance: Command the interface between field operations and internal Oncology Translational Medicine & Scientific Communications, Medical Affairs, Life Cycle,  R&D and Product Development leadership, translating field-derived real-world evidence into high-impact pipeline recommendations.
  • Investigator-Led Portfolio Management: In partnership with MSLs, oversee the lifecycle of all regional investigator-initiated trials (IITs) and institutional registries, ensuring team members enable investigators to maximize the utility of Natera's proprietary analytical tools and data visualization platforms to achieve statistical robustness and prompt manuscript generation.
  • Institutional Network Expansion: Secure, scale, and manage institutional data-sharing models, biobanking governance, and EMR data-integration initiatives with core comprehensive cancer networks.
  • Scientific Advocacy & Compliance: Represent Natera as a senior scientific authority at major oncology congresses, ensuring all field data-handling methods maintain absolute alignment with HIPAA, CAP/CLIA, PHI data protocols, FDA regulations, and PhRMA codes of interaction.
Qualifications
  • Required Education: PhD or MD in Cancer Biology, Genomics, Bioinformatics, or a related complex molecular science discipline.
  • Required Experience: 6+ years of total experience within basic or translational oncology research, including a minimum of 2+ years of explicit people management experience leading high-performing scientific or clinical teams within the diagnostics,  biotechnology or pharmaceutical sectors.
  • Domain Mastery: Exceptional command of cancer biology and genetics, liquid biopsy modalities and clinical utilities, next-generation sequencing (NGS) and ctDNA workflows and data interpretation, and statistical methods.
  • Data-Centric Track Record: Documented success managing complex genomic datasets, institutional electronic medical record (EMR) integrations, or complex clinical data registries.
  • Leadership Style: Proven ability to manage teams through high ambiguity, prioritizing structured logic and rapid, high-judgment decision-making over consensus-driven delays.
  • Operational Mobility: Ability and willingness to travel domestically up to 50-70% to support team execution, site audits, and principal investigator collaborations.

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