Senior Manager, Value Analytics
AbbVie
August 25, 2026
Remote friendly (Mettawa, IL)
United States
$109,500 - $208,500 USD yearly
Market Access
Role is responsible for designing and executing evidence-synthesis, health economic models. Applies methodological and analytical expertise to understand the value of AbbVie products and to demonstrate this, and tailors generated evidence for multiple stakeholder audiences.
Responsibilities:
- Develop global Systematic Literature Reviews (SLR), Indirect Treatment Comparison (ITC) and Health Economic Models (HEM) for HTA, payer and Access stakeholder assessments, submissions and negotiations.
- Support affiliates with local adaptation of Global Models (ITC, HEM); coordinate data requirements across biostatistics and evidence generation functions (Clinical Development; HEOR and Medical Affairs) to support Pricing & Reimbursement.
- Contribute to ITCs and HEMs to inform value proposition, development, pricing, and commercial strategic forecasts/decisions.
- Share best practices and key learnings across affiliates and cross-functional partners.
- Join cross-functional, multi-country evidence modelling teams to meet affiliate and stakeholder needs and co-create solutions.
- Join the Value & Access Team (VAT) and other cross-functional teams as required.
- Use analytical techniques leveraging clinical data and published information to inform pricing and market access strategy.
- Collaborate with the Data and Statistical Sciences (DSS) team for trial analyses, HTA challenges, and statistical analyses of clinical trial data.
Qualifications (required):
- Advanced degree (MS/MSc/MPhil/MPH).
Qualifications (preferred):
- PhD.
- At least 3 years relevant experience in consultancy or pharmaceutical industry.
- Experience interacting with and/or delivering submissions to HTA agencies or other payer/decision-making bodies (highly desirable).
Skills/required capabilities:
- Health economics; economic modelling and budget impact analysis.
- Hands-on Excel knowledge for economic models/BIMs including VBA.
- Evidence-synthesis (SLR search strategies; feasibility for indirect comparisons; critical appraisal of SLRs and ITC/NMAs).
- HTA-relevant statistics (e.g., indirect treatment comparisons, survival analysis, utility estimation).
- Working knowledge of statistical/data processing software (R preferred).
Benefits:
- Paid time off; medical/dental/vision insurance; 401(k).
- Eligible for long-term incentive programs.
Responsibilities:
- Develop global Systematic Literature Reviews (SLR), Indirect Treatment Comparison (ITC) and Health Economic Models (HEM) for HTA, payer and Access stakeholder assessments, submissions and negotiations.
- Support affiliates with local adaptation of Global Models (ITC, HEM); coordinate data requirements across biostatistics and evidence generation functions (Clinical Development; HEOR and Medical Affairs) to support Pricing & Reimbursement.
- Contribute to ITCs and HEMs to inform value proposition, development, pricing, and commercial strategic forecasts/decisions.
- Share best practices and key learnings across affiliates and cross-functional partners.
- Join cross-functional, multi-country evidence modelling teams to meet affiliate and stakeholder needs and co-create solutions.
- Join the Value & Access Team (VAT) and other cross-functional teams as required.
- Use analytical techniques leveraging clinical data and published information to inform pricing and market access strategy.
- Collaborate with the Data and Statistical Sciences (DSS) team for trial analyses, HTA challenges, and statistical analyses of clinical trial data.
Qualifications (required):
- Advanced degree (MS/MSc/MPhil/MPH).
Qualifications (preferred):
- PhD.
- At least 3 years relevant experience in consultancy or pharmaceutical industry.
- Experience interacting with and/or delivering submissions to HTA agencies or other payer/decision-making bodies (highly desirable).
Skills/required capabilities:
- Health economics; economic modelling and budget impact analysis.
- Hands-on Excel knowledge for economic models/BIMs including VBA.
- Evidence-synthesis (SLR search strategies; feasibility for indirect comparisons; critical appraisal of SLRs and ITC/NMAs).
- HTA-relevant statistics (e.g., indirect treatment comparisons, survival analysis, utility estimation).
- Working knowledge of statistical/data processing software (R preferred).
Benefits:
- Paid time off; medical/dental/vision insurance; 401(k).
- Eligible for long-term incentive programs.