Senior Manager, Value Analytics

Company Description

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 – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

*Remote or Hybrid in AbbVie Location. Position title and grade level will be based on qualifications listed below and location hired.

Purpose

Role is responsible for designing and executing evidence-synthesis, health economic models. Position applies methodological and analytical expertise to understand the value of AbbVie products and how best to demonstrate this. Role will strategically and effectively communicate, and tailor generated evidence to multiple stakeholder audiences.

Responsibilities

• Develop core global Systematic Literature Reviews (SLR), Indirect Treatment Comparison (ITC) and Health Economic Models (HEM) for HTA, payer and other Access stakeholders assessments, submissions and negotiations.
• Support of affiliates with local adaption of the Global Models (ITC, HEM), coordinate data requirements across biostatistics and evidence generations 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 modelling teams (cross-functional and multi countries) supporting the evidence modelling team lead to source affiliate and other stakeholder needs and co-create solutions.
• Join 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) tea