Senior Director, Geneconomics Cost Modeler (Gene Therapy, Cost Modeling, HEOR)

Bannockburn, IL, US
Nov 21, 2020
Required Education
Position Type
Full time

Ready to join a team committed to developing and commercializing gene therapies for patients and families devastated by rare neurological genetic diseases? Since 2013, Novartis Gene Therapies (formerly AveXis) has had one focus: bringing change to those devastated by genetic diseases.

The Novartis Gene Therapies culture embraces this mission. As a compassionate and dedicated team, we are enthusiastic about the science behind our work and finding answers to difficult questions. We are dedicated to communities affected by rare diseases, and these patients and families are the motivation for everything we do.

We have built a team with exceptional depth of experience, unified by a common vision; to develop gene therapies with the potential to positively impact the lives of the patients and families devastated by rare and life-threatening neurological genetic diseases. Though we are proud of what we have achieved to date, we remain relentlessly focused on making that vision a reality.

The Sr. Director, Geneconomics Cost Modeler, is responsible for developing and implementing (hands on) global strategic economic research and cost models for managing the planning, implementation and publishing of health economics and cost models in disease areas of interest to Novartis Gene Therapies and through the product life cycle. This role oversees cost models conducted for company products and shares that research with other Novartis Gene Therapies stakeholders and regions.

  • Provides insights to Early Development, Clinical R&D Commercial/Marketing/Translational Access, Medical Affairs regarding the development of Novartis Gene Therapies products.
  • Designs cost modeling studies to quantify product value including clinical and/or economic impacts of gene therapy products.
  • Conducts, develops, and validates health economic cost models and analysis, including but not limited to cost effectiveness, cost utility, cost minimization, cost benefit, and budget impact models, using published literature, clinical trial data and/or real world data inputs.
  • Adapts economic models in accordance with local requirements / guidelines.
  • Contributes to HTA submission documentation and tactics, and to pricing and reimbursement (pricing corridor, economically justifiable price, launch sequence/timing, negotiation argumentation).
  • Leads the development of cost models project deliverables: models, reports, abstracts, manuscripts, and slide decks.
  • Reviews and critiques medical and evidence-based health economic literature & statistical analyses in geneconomics.
  • Presents and interprets findings to cross functional teams, including global patient access, clinical development, medical affairs, marketing team, and publication teams.
  • Leverages EHR databases to support model development and reimbursement activities.
  • Obtains value evidence scientific advice from HTAs / Payers and regulatory regarding cost models evidence package.
  • Responds to external reviews and needs such as ICER, local HTAs (NICE, HAS, etc.) and engage external HEOR KOLs.
  • Researches and performs critical economic analyses of medical and scientific evidence including systematic reviews and economic evaluations as the basis for HTA assessments and formulary evaluations.
  • Contributes to the development of high quality global value and AMCP dossiers.
  • Collaborates on the development of Quality of Life measures to generate utilities to be used in cost models.
  • Attends HEOR, medical/scientific, and pharmacy professional meetings to keep up with changing trends and remain current within the field relating to modeling and new research trends affecting each product area.
  • Oversees operation, resourcing and management of the modeling activities.
  • Other related job duties as assigned.

  • MD, PhD or Master's degree in economics, health economics, public health, health policy and management, statistics, operational research or related field and 10 years relevant experience.
  • 7 years demonstrated experience in economic modeling.
  • Working knowledge of health economic modeling techniques, including decision analysis.
  • Hand-on experience of using Markov model and discrete event simulation.
  • Experience of using Tableau is preferred.
  • Expert-level proficiency in Microsoft Excel (including Visual Basic), Treeage, and/or R.
  • Possesses excellent HTA, Payer and reimbursement knowledge.
  • Experience working in a global organization highly desirable.
  • Experience working in a matrixed environment highly desirable.
  • Record of publications in health economics, health services research, or clinical journals.
  • Hand-on experience of cost-effectiveness analysis and/or budget impact analysis
  • Proven ability to write and publish for medical or scientific audiences.
  • Extensive working knowledge of ICER and HTAs needs and processes.
  • Strong skills in data analytics and graphic interfaces.
  • Strong organizational skills and proven ability to manage personal responsibilities on multiple priorities and/or projects at once.
  • Ability to work independently and collaboratively.
  • Outstanding ability to communicate technical and complex information to both technical and non-technical audiences.
  • Possess strong business acumen in understanding the needs from ICER, HTAs and payers.
  • Possesses excellent communication and interpersonal skills especially over departmental and geographical boundaries.

The level of this position will be based on the final candidate's qualifications.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Novartis Gene Therapies is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, national origin, genetics, disability, age, sexual orientation or veteran status.