No company knows the brain better. Lundbeck is uncompromisingly committed to the research, development and delivery of targeted therapies for people living with significant psychiatric and neurological disorders. At Lundbeck, we believe life is too beautiful to be interrupted by brain disorders. So, we pursue imaginative solutions, driven by passionate people committed to do the right thing for our patients, our company and our communities. Lundbeck strives to be a leader in depression, schizophrenia, Alzheimer’s disease and Parkinson’s disease.
For Lundbeck, making a meaningful difference for patients is more than an aspiration: it is a commitment that shapes everything we do. Our advocacy for patients isn’t an invented “company value” – it is at the core of who we are and motivates every individual at Lundbeck. Our ongoing engagement with patient communities is not what you might expect from a pharmaceutical company – we create our own programs to help patients and caregivers not simply manage their conditions but thrive in spite of them.
The Senior Health Economic Analyst will have the primary responsibility for analyzing US healthcare databases and other relevant sources (observational studies, register) to support HEOR evidence development.
This position contributes to the generation of a robust and solid evidence base to secure successful market access for Lundbeck products in the United States.
Under the direction of US Health Economics and Outcomes Research (HEOR) function, the primary role is to provide strategic and analytical support to projects of varying complexity within outcomes research, market analytics, epidemiology, economic modeling and comparative evidence. As a member of cross functional working teams, you will be responsible for developing and writing analyses plans and performing analyses of retrospective databases (e.g. claims data or data from electronic medical records), observational epidemiological studies and meta-analysis based on systematic literature review to support the product differentiation strategy. Part of the job will also be to contribute to publications and to provide support to literature reviews and value dossiers.
In this role, the incumbent is expected to keep abreast with the technical, scientific and methodological developments within the field of statistics, health economics and outcomes research, and epidemiology.
The US Senior Analyst will work closely with US HEOR, Global Analytics in Biometrics HQ and with Lundbeck partners to ensure optimal and efficient collaboration on the deliverables for the US. This position reports to the VP, HEOR within the US Drug Development in Deerfield Illinois.
Responsibilities include but are not limited to the following:
- Manages data extraction and manipulation of large relational databases.
- Provides recommendations and guidance regarding the appropriate statistical approaches to answering key research questions.
- Designs, develops and applies statistical theories and methods to solve complex technical problems.
- Defines detailed report requirements for new decision support reports as assigned.
- Uses multivariate modeling statistical software (SAS, SPSS, etc.) to create and maintain listings, tabulations, graphical summaries, and formal statistical estimates and tests.
- Performs predictive modeling for clinical program development/enhancement and adherence.
- Creates statistically sound data sets, analysis methods, and scientific reports, assess quality of data analysis programs, and develop automated analysis tools where appropriate.
- Performs descriptive and advanced statistical analyses using datasets from clinical trials and large, retrospective patient/claim databases in support of epidemiologic and health outcomes research.
- Develops economic models including, but not limited to, budget impact and cost effectiveness models.
- Ensures quality control of deliverables.
- Contributes to the development of abstracts and manuscripts derived from US Drug Development.
REQUIRED EDUCATION, EXPERIENCE and SKILLS:
- Combination of academic training and practical experience in econometrics, statistics applied to outcomes research and health economics is required. This may consist of:
- Accredited M.S. in Statistics or Mathematical Sciences and a minimum 3 years of experience in statistics, OR an accredited Ph.D. in statistics and 1 year of experience in statistics, OR an accredited Bachelor’s Statistics or Mathematical Sciences degree and a minimum of 5 years of experience in statistics.
- Minimum 3 years of experience in applying statistical methods in biomedical research/ biological problems.
- Proficiency in SAS programming, including performing complex data manipulation and generating descriptive statistics.
- 3+ years of related work experience with large data sets.
- Work experience / knowledge of statistical methods commonly used in health outcomes research, including GLM regression modeling techniques, GEE models, mixed models, survival analysis, propensity score matching/modeling and non-parametric methods.
- Knowledge of building health economic decision models.
- Ability to interpret and communicate results effectively.
- Experience with outcomes research using retrospective databases or observational epidemiological studies and, preferably, with economic modeling and comparative evidence generation.
- Analytical, goal-oriented, innovative and proactive.
- Team player and enjoys interaction with colleagues and collaborators from different functional areas.
PREFERRED EDUCATION, EXPERIENCE AND SKILLS:
- Accredited Doctoral degree or M.S. in Statistics or Mathematical Sciences.
- Experience in the pharmaceutical industry.
- Experience in the CNS therapeutic area.
- Knowledge of building health economic decision models using Excel/TreeAge.
- Track record of research in Life Sciences/healthcare field, including a minimum of 1 peer-reviewed publication using routine databases, such as MarketScan.
- Willingness/Ability to travel up to 10% (domestically mostly with international travel (Copenhagen, Europe) required to up to 1-2 times per year).