Amgen's Global Health Economics organization is seeking candidates to join the Economic Modeling Center of Excellence (COE). The Economic Modeling COE works in cross-functional teams developing and supporting product value strategy focusing on evidence-based economic modeling throughout the product lifecycle. The activities of the Economic Modeling COE include early modeling for strategic input to development design, pricing strategy, core models and local model adaptations for Health Technology Assessment (HTA) and price and reimbursement submissions, as well as tools supporting field-based key account value communication.
The successful candidate will work as the oncology US lead in the Economic Modeling COE, and will be based at Amgen's headquarters in Thousand Oaks, CA.
Key responsibilities include:
Leading US cost-effectiveness and budget impact model development and adaptations to address local requirements, and being responsible for project management, content and execution in collaboration with cross-functional local, regional and global teams.
Developing the economic sections of US dossier submissions.
Providing input to Value Story development and updates.
Providing input to design and interpretation of evidence generation studies.
Interpreting clinical studies results and plan additional statistical analyses needed for core models and US model adaptations, including indirect treatment comparisons.
Presenting, discussing and re-analyzing model results, with a focus on the US-market needs.
Supporting timely and effective communication to HTA and reimbursement authorities.
Leading and supporting publications of core global and US economic models.
Recruiting, leading, managing and coaching a team of economic modelers.
Doctorate Degree and 2 years of health economics and outcomes research experience
Master's Degree and 6 years of health economics and outcomes research experience
Bachelor's Degree and 8 years of health economics and outcomes research experience
MSc or PhD in Health Economics with a background in economics or in a quantitative field (such as statistics/biostatistics, epidemiology or engineering).
3+ years of experience in global health economics and outcomes research including US dossier submissions for coverage and reimbursement.
3+ years of experience developing pharmacoeconomic models.
Experience working with consumers of outcomes information
Knowledge of epidemiology, economics, psychometrics and medical writing
Master and 6+ years, or PhD and 3+ years, of relevant work experience in the pharmaceutical industry, consultancy, academia or reimbursement agencies.
Previous experience in oncology.
Previous experience managing direct reports.
Strong experience in developing core and local adaptations of cost-effectiveness and budget impact models.
Strong statistical skills, in particular deep knowledge of advanced survival analyses.
Strong Excel skills and experience using Visual Basic, and software such as TreeAge Pro, R, SAS, Stata or WinBUGS for model development and data analysis.
Strong analytical and project management skills.
Strong verbal and written communication skills.
Amgen is committed to unlocking the potential for patients suffering from serious illnesses by discovering, developing, manufacturing and delivering innovative human therapeutics. This approach begins by using tools like advanced human genetics to unravel the complexities of disease and understand the fundamentals of human biology.
Amgen focuses on areas of high unmet medical need and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential.
Global Health Economics contributes by ensuring patient and payer perspectives are incorporated into the value generated for Amgen's innovative biologics. The department is committed to developing comprehensive evidence packages across cost modeling, database analysis, and patient reported outcomes to achieve unparalleled health technology submissions.