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Economic Modelling Jobs in Oregon (NOW HIRING)

Our work combines cutting-edge economic research, deep energy sector expertise with applied market and financial modelling to help clients navigate the rapid transformation of energy systems. Our ...

Senior Portfolio Manager

Portland, OR · On-site

$116.64K - $145.80K/yr

It includes responsibility for data modelling, reporting, analysis, and visualization to facilitate ... economics or related field. * Advanced degree, certification as a Project Management Professional ...

Senior Portfolio Manager

Portland, OR · On-site

$116.64K - $145.80K/yr

It includes responsibility for data modelling, reporting, analysis, and visualization to facilitate ... economics or related field. * Advanced degree, certification as a Project Management Professional ...

Undertake financial modelling and scenario analysis to support pricing decisions and improve the ... Drive value-based pricing models that align firm economics with client expectations. * Work with ...

$210K - $270K/yr

... modelling, data science, machine learning) and programming languages to build custom data tables ... Bachelor's degree in Statistics, Engineering, Computer Science, Mathematics, Economics, Data ...

... modelling * Demonstrated experience advising and working closely with Executive Teams and Boards on high-value strategic transactions * Degree in Business, Finance, Economics, Engineering, Science ...

EDUCATION, LICENSES, CERTIFICATIONS, AND EXPERIENCE Bachelor's degree in business, economics, international relations, library/information science, marketing, or a related field. 4-7 years of ...

... economic turmoil, and more. Our browser extension and mobile platforms meet the needs of millions ... Experience performing threat modelling, security design reviews, and vulnerability assessment.

Economic Modelling information

See Oregon salary details

$32.8K

$77.5K

$137.4K

How much do economic modelling jobs pay per year?

As of May 30, 2026, the average yearly pay for economic modelling in Oregon is $77,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $92,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Economic Modeller, and why are they important?

To thrive as an Economic Modeller, you need a strong background in economics, mathematics, and statistical analysis, often supported by a degree in economics or a related field. Proficiency with technical tools such as Excel, statistical software (e.g., Stata, R, or Python), and econometric modelling platforms is typically required. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly help individuals stand out in this role. These skills are crucial for producing accurate forecasts, informing policy or business decisions, and effectively conveying model insights to stakeholders.

What are some common challenges faced by professionals in economic modelling roles, and how can they be addressed?

Economic modelling professionals often encounter challenges such as managing incomplete or inconsistent data, adapting models to rapidly changing economic conditions, and effectively communicating complex findings to non-technical stakeholders. Addressing these issues typically involves collaborating closely with data analysts and subject matter experts to enhance data quality, staying current with economic trends, and developing strong presentation skills to translate technical results into actionable business insights. Proactively seeking feedback and participating in cross-functional teams can also help in overcoming these challenges and delivering impactful work.

What is economic modelling?

Economic modelling is the process of creating mathematical frameworks and simulations to represent economic processes, relationships, or systems. These models help economists analyze complex scenarios, forecast outcomes, and evaluate the impact of policy decisions or market changes. Economic models can be simple or highly complex, depending on the variables and assumptions involved. They are widely used in government, academia, and business to guide decision-making and understand economic dynamics.

What is the difference between Economic Modelling vs Data Analyst?

AspectEconomic ModellingData Analyst
Required CredentialsDegree in Economics, Finance, or related field; often requires advanced degreesBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch-focused, often in finance, government, or consulting firmsBusiness or tech companies, analyzing large datasets
Employer & Industry UsageUsed in economic forecasting, policy analysis, financial modelingUsed in marketing, operations, and business intelligence

Economic Modelling and Data Analysts both work with data, but Economic Modelling focuses on creating economic forecasts and financial models, often requiring advanced economics knowledge. Data Analysts interpret data to inform business decisions, typically with a stronger emphasis on data manipulation and visualization. While overlapping skills exist, their primary applications and industries differ.

What job categories do people searching Economic Modelling jobs in Oregon look for? The top searched job categories for Economic Modelling jobs in Oregon are:

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Position Summary:

ultrainnovative - Tackle rare and dynamic challenges

This key position will represent Global Health Economics and Outcomes Research (HEOR) across functional teams for pipeline and commercialized programs.  

The Senior Director Global HEOR, is responsible for leading the development and tactical execution of HEOR strategies for pipeline and commercialized programs, working cross-functionally to provide leadership for HEOR across the portfolio of Ultragenyx programs globally. 

Generate HEOR data to support clinical development and reimbursement filings, including design, implementation and data analysis of HEOR studies and provide consultation as an internal subject matter authority in HEOR to other departments. 

Research activities can include cost-effectiveness models, budget impact analyses, systematic literature reviews and indirect comparisons, cost-of-illness and burden of illness studies, retrospective data analyses and claims analyses, data analytics and publications.  

This global role will lead HEOR assessments using existing bodies of evidence and generating data where they do not exist and will assist with any relevant HEOR and outcomes research, statistical analysis plans, and analysis output as requested across programs. 

Work Model: 

Remote: Officially documented as working full-time from home, with travel to Ultragenyx's offices or other locations on occasion as needed.

Responsibilities:
  1. Identified as an HEOR subject matter expert, able to provide consultation as an internal HEOR subject matter authority to other departments and responsible for developing HEOR strategy and leadership among cross-functional project teams, to mitigate risk and achieve success, across the portfolio of Ultragenyx programs globally 
  2. Generate HEOR data to support clinical development and reimbursement, including design, implementation and analysis of HEOR studies 
  3. Proactively collaborates and demonstrates cross-functional leadership across the organization to facilitate alignment around key HEOR endpoints, outcomes and deliverables and partners closely with internal stakeholders, including medical, clinical development, commercial, market access, endpoint development strategy and management team to identify and develop appropriate HEOR strategy to support global development and reimbursement plans across US, Canada, EMEA, LATAM and APAC regions 
  4. Identify evidence gaps to inform strategic planning and lead development of new evidence strategies to increase understanding of target patient populations of UGX programs and lead development of new evidence generation strategies to achieve market access across global target patient populations of UGX programs 
  5. Review and provide health economics and outcomes research input into clinical development program planning, integrated evidence generation plans, regulatory documents with accuracy and scientific integrity 
  6. Provide leadership through influencing without authority across project teams, internally and externally, can identify & lead cross functional teams for external collaborative research partnerships from project inception thru publication(s) and presentation(s) 
  7. Represent Ultragenyx as Global HEOR subject matter expert at external professional, scientific meetings and forums 
Requirements:
  1. BA/BS in the Life Sciences, Public Health, Epidemiology or Health Economics and MA/MS in the Life Sciences, Public Health, Epidemiology, Health Economics or Pharmacy; Prefer advanced degree in the life sciences (PharmD, PhD, MD) 
  2. 12 + years of relevant experience in biopharmaceutical industry, with health economics and outcomes research, with clinical background/research experience preferred 
  3. Excellent interpersonal and organizational skills with the ability to work well in a multidisciplinary team and across the matrix. Key stakeholders include Medical Strategy, Clinical Development, Regional Market Access, Biostatistics, Molecular Diagnostics, Epidemiology, Global and Regional Commercial 
  4. Experience in health economics and outcomes research activities including de novo evidence generation, economic modelling, input into clinical trial design & analysis, evidence- based synthesis from literature, and study design, data management and analysis. 
  5. Effective communication of HEOR strategy and findings, both written and verbal, is required.  
  6. Self-motivated with the ability to work independently, across multiple assets, and to develop credibility with colleagues, influence decisions with excellent interpersonal and organizational skills with the ability to work well in a multidisciplinary team and across the matrix.  
  7. Strong technical expertise in HEOR principles, and knowledge of analytical applications, demonstrating a sophisticated understanding of, and the ability to interpret, quantitative methods is required 
  8. Experience in strategic planning and project management, with proficiency in working cross-cultural/global teams 
  9. Experience in Gene Therapy and in Global HEOR strongly preferred 
  10. Experience in Rare Disease preferred 
  11. Travel: approximate 10-25% 

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