Senior Manager, Value Analytics

About the Company

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience — and products and services in our Allergan Aesthetics portfolio.

About the Role

This role is responsible for designing and executing evidence-synthesis and health economic models. The position applies methodological and analytical expertise to understand the value of AbbVie products and how best to demonstrate this value to multiple stakeholder audiences through strategic and effective communication.

Responsibilities

• Develop core global Systematic Literature Reviews (SLR), Indirect Treatment Comparisons (ITC), and Health Economic Models (HEM) for HTA, payer, and other Access stakeholders assessments, submissions, and negotiations.
• Support affiliates with local adaptation of Global Models (ITC, HEM), coordinating data requirements across biostatistics and evidence generation functions (Clinical Development; HEOR and Medical Affairs) to support Pricing & Reimbursement.
• Contribute to the development of ITCs and HEMs to inform value proposition, development, pricing, and commercial strategic forecast and decisions.
• Share best practices and key learnings across affiliates and cross-functional partners.
• Join evidence modeling teams (cross-functional and multi-country) to support the evidence modeling team lead in sourcing affiliate and other stakeholder needs and co-creating solutions.
• Join the Value & Access Team (VAT) and other cross-functional teams as required.
• Use analytical techniques leveraging available 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.

Requirements

• Advanced degree (MS/MSc/Mphil/MPH required or PhD preferred) in Health Economics, Epidemiology, Statistics, Biostatistics, Public Health, Econometrics, or other related field.
• At least 3 years of relevant experience in consultancy or the pharmaceutical industry.
• Excellent communication, collaboration, and project management skills.
• Understanding of both health economics and evidence-synthesis disciplines as relevant to HTA, pricing, reimbursement, and value assessment.
• Experience interacting with and/or delivering submissions to HTA agencies or other payer or decision-making bodies is highly desirable.

Skills

• Health economics economic modeling and budget impact analysis: Working hands-on knowledge of Excel for the development of economic models and/or BIMs, including VBA.
• Evidence-synthesis: Designing SLR search strategies, conducting feasibility analysis for Indirect comparisons, and critically appraising reporting of SLRs and ITC/NMAs.
• Statistics: HTA-relevant statistical methodologies, for example, indirect treatment comparisons, survival analysis, or utility estimation. Working knowledge of statistical and data processing software (R preferred).

Benefits

• Comprehensive package of benefits including paid time off (vacation, holidays, sick).
• Medical, dental, and vision insurance.
• 401(k) retirement plan.
• Eligibility to participate in long-term incentive programs.