Director, Global RWE & Data Science - Eisai
Nutley, NJ 07110
About the Job
At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer’s disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.
Director, Global RWE & Data Science sought by a pharmaceutical company in Nutley, NJ. Assess real-world data gaps and lead evidence generation process for the collection and dissemination of information, data, insight and intelligence on specific topics, and regional/country market access requirements. Drive business value through data science and advanced analytics. Lead CMS database assessments, analytics, and reporting in support of U.S. and global access initiatives and payer engagements in the US markets. Lead economic assessments and value computations for ADF portfolio at the global level. Lead real world evidence (RWE) development programs in support of global market access initiatives. Lead clinical meaningfulness initiatives that address issues such as payer challenges, impairments in quality of life and patient well-being, and gaps in clinical practice.
Requirements:
Master’s degree (or foreign equivalent) in Statistics, Data Science or Risk Management and Insurance or related field, and 5 years pharmaceutical industry experience in the job offered or as Associate Manager. Also requires 5 years of experience with/using the following (which may have been gained concurrently):
- Working with data mining algorithms including artificial intelligence and machine learning techniques such as regression, decision trees, association rules, clustering, deep learning, neural networks, and Bayesian models.
- Generating advanced insights and predictive capability from statistical models.
- Clinical development and product life-cycle management.
- Vendor management.
- Economic modeling and Monte Carlo Simulation.
- Global HTA methodology and processes.
- CMS Database Analytics.
Send resumes to HR Department, Eisai, Inc. 200 Metro Blvd, Nutley NJ 07110, Job Code: R3486
Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.
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