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Economic Modeling Jobs in Oregon (NOW HIRING)

College Economics Tutor

Eugene, OR · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

College Economics Tutor

OR · Remote

$18 - $40/hr

Skilled at breaking down mathematical economic modeling, graphical analysis, and policy evaluation. Guides students through deriving demand curves from utility functions, analyzing firm behavior ...

... economic models, reading supply and demand graphs, and connecting macroeconomic concepts to personal experience. Adapts instruction using real-world examples, simulation activities, and graph-drawing ...

High School Economics Tutor

OR · Remote

$18 - $40/hr

... economic models, reading supply and demand graphs, and connecting macroeconomic concepts to personal experience. Adapts instruction using real-world examples, simulation activities, and graph-drawing ...

... economic models, reading supply and demand graphs, and connecting macroeconomic concepts to personal experience. Adapts instruction using real-world examples, simulation activities, and graph-drawing ...

Sr Statistical Modeling Analyst

OR · On-site +1

$99K - $186K/yr

Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models for credit decision scorecard, loss forecasting, reserving, and economic capital use cases. Support ...

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Showing results 1-20

Economic Modeling information

See Oregon salary details

$34.9K

$113.8K

$158.1K

How much do economic modeling jobs pay per year?

As of Aug 23, 2026, the average yearly pay for economic modeling in Oregon is $113,758.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $123,200.00 per year, depending on experience, location, and employer.

What is economic modeling?

An Economic Modeling job involves using mathematical and statistical techniques to analyze economic data, forecast trends, and evaluate policies or business decisions. Professionals in this role develop models to simulate economic scenarios and assess the potential impact of various factors, such as policy changes, market fluctuations, or consumer behavior. They work in industries like government, finance, consulting, and academia to provide data-driven insights that support decision-making. Strong analytical skills, proficiency in software like Python, R, or Excel, and a background in economics or finance are typically required.

What are the key skills and qualifications needed to thrive in economic modeling?

To thrive in Economic Modeling, a strong background in economics, statistics, and mathematics is essential, typically supported by at least a bachelor's degree in a quantitative field. Familiarity with econometric software and programming languages such as R, Python, SAS, or Stata is highly valued, along with certifications in data analysis or applied economics. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly are crucial soft skills for this role. These skills enable professionals to develop accurate models and deliver actionable insights that support evidence-based decision-making in business or policy.

What are the common challenges faced in economic modeling?

One of the primary challenges in Economic Modeling is ensuring the accuracy and reliability of complex forecasts in the face of uncertain or incomplete data. Economic modelers must regularly update and recalibrate models to reflect changing market conditions, regulations, and global events. Collaboration with data analysts, business leaders, and policy experts is often required to validate assumptions and interpret results. Successfully balancing theoretical rigor with practical application is key, and continuous learning is important for staying current with new modeling techniques and technologies.

What do economic modeling do?

Economic modeling involves creating mathematical representations of economic systems to analyze and forecast economic behavior, policy impacts, and market trends. Economists use tools like statistical software and data analysis to develop these models, which support decision-making in finance, government, and business environments.

What are popular job titles related to Economic Modeling jobs in Oregon?

For Economic Modeling jobs in Oregon, the most frequently searched job titles are:

Infographic showing various Economic Modeling job openings in Oregon as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $113,758 per year, or $54.7 per hour.

Associate Director, Health Economics & Outcomes Research/Real-World Evidence (HEOR/RWE)

Mineralys Therapeutics

OR • On-site, Remote

$175K - $200K/yr

Full-time

Posted 24 days ago


Job description

"Mineralys Therapeutics is a clinical-stage biopharmaceutical company focused on developing medicines to target hypertension and related comorbidities such as chronic kidney disease (CKD), obstructive sleep apnea (OSA) and other diseases driven by dysregulated aldosterone.  Its initial product candidate, lorundrostat, is a proprietary, orally administered, highly selective aldosterone synthase inhibitor.  Mineralys is headquartered in Radnor, Pennsylvania. For more information, please visit https://mineralystx.com. Follow Mineralys on LinkedIn, Twitter and Bluesky"

Mineralys is a fully remote company.

Position Summary:


The Associate Director, HEOR / Real-World Evidence (RWE) plays a strategic and scientific leadership role in developing and executing evidence strategies that support the clinical and economic value of our innovative therapy.   This position is responsible for designing and delivering real-world and outcomes research evidence to support medical affairs, market access, and regulatory objectives. The role focuses on generating high-quality, decision-relevant evidence, including observational studies, external control arms, and economic models, and indirect treatment comparisons, to contextualize clinical outcomes, demonstrate value, and support stakeholder decision- making.   
The Associate Director collaborates cross-functionally with Medical Affairs, biostatistics, and commercial teams, while also engaging external partners such as academic researchers, key opinion leaders, and data vendors. This role contributes to strategic evidence planning, scientific communication, and advancing real-world data capabilities within a matrixed organization.

Key Responsibilities: 

  • Lead the design, execution, and oversight of HEOR and RWE studies, including observational studies (retrospective/prospective cohorts), economic models, external control arms and indirect treatment comparisons.
  • Oversee data analysis ensuring methodological rigor and contribute to research reports for internal and external consumption.
  • Develop and execute integrated HEOR strategies aligned with product development and market access needs.
  • Identify evidence gaps and define research strategies to address unmet needs, burden of disease, and treatment pathways.
  • Support development of value messaging tools (e.g., cost-effectiveness models, budget impact models).

Cross-functional Collaboration & Stakeholder Engagement

  • Partner cross-functionally with Medical Affairs, Clinical Development, Market Value & Access and Commercial teams to align with data needs.
  • Build and manage relationships with external experts, academic collaborators, and vendors.
  • Provide HEOR/RWE expertise to support interactions with HTA agencies.
  • Lead publication planning and development of HEOR/RWE abstracts, manuscripts, and presentations for scientific congresses and peer-reviewed journals.

Operational Leadership & Governance

  • Oversee vendor selection and management, ensuring timely, high-quality study execution.
  • Manage timelines, budgets, and deliverables across multiple projects
  • Ensure all HEOR activities adhere to compliance guidelines, internal SOPs, regulatory standards, and ethical guidelines for RWD and economic modeling.

Qualifications:

  • Advanced degree required (PhD, PharmD, MD, MPH, or similar) in health economics, outcomes research, biostatistics, epidemiology or related field.
  • Minimum of 5 years of relevant experience in HEOR, RWE, or outcomes research in pharmaceutical, biotech, consulting, or academic settings.
  • Strong analytical skills and strong understanding of observational study design, real-world data sources (claims, EMR, registries), and health economic modeling.
  • Experience with burden of illness studies, and comparative effectiveness research.
  • Familiarity HTA requirements and RWE regulatory landscape.
  • Demonstrated ability to successfully lead complex research projects independently and collaboratively.
  • Strong communication, and scientific writing skills, including publication track record.
  • Proven cross-functional collaboration and stakeholder engagement capabilities.

Travel:

  • This position requires up to 20% travel. Frequently travel is outside the local area and overnight.

US Salary Range:  $175,000 - $200,000

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