About this opportunity
Company Description
About AbbVie
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. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.
Job Description
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.
Qualifications
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) team for trial analyses, HTA challenges, and statistical analyses of clinical trial data.
Qualifications
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 relevant experience in consultancy or 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 and experience within one of the following core capabilities of the Value Analytics Center
Health economics
economic modelling 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
Critically appraise 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)
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
This job is eligible to participate in our long-term incentive programs.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html
Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 243 comparable Manager Data & Digital roles across 57 biopharma companies.
Salary context
91 of 243 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 243 comparable roles
+ 23 more countries
Seniority mix
243 of 243 peers have a known seniority level
Therapeutic area mix
19 of 243 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
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How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.