Associate Director, Data Sciences & Strategic Partnerships

Boston, MA, US
April 13 2018
Organization Type
Requisition ID: OUT000540

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its 125-year legacy. Merck’s success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.
Merck is on a quest for cures and is committed to being the world’s premier, most research-intensive biopharmaceutical company. Today, we’re doubling down on this goal. Merck Research Laboratories is a true scientific research facility of tomorrow, and will take Merck’s leading discovery capabilities and world-class small molecule and biologics R&D expertise to create breakthrough science that radically changes the way we approach serious diseases.
 The Center for Observational and Real-world Evidence (CORE) is looking for an Associate Director of Data Sciences & Strategic Partnerships with expertise in data sciences and informatics to contribute to the development, exchange, and communication of evidence that demonstrates the value of Merck’s pharmaceuticals and vaccines and provides our customers (payers, providers, patients,  policy makers) with transformative insights. The candidate filling this position will be working in a multi-faceted, cross-functional environment interfacting both externally with vendors and clients, and internally with Merck leaders. Responsibility include (but are not limited to): 
• Identify, evaluate, and develop strategic partnerships with novel health data and technology opportunities to generate insights that inform healthcare decisions and policy through novel studies, methods, and technologies• Lead data innovation initiatives to increase access to and interoperability of data, models, analytics, and value evidence • Establish rapid, interactive, and self-service analytic and data visualization capabilities and workflows• Advance the development and diffusion of open-source health economic modeling methodologies• Leading and conducting data analytic projects using standard and advanced analytic methods• Lead value analytic and informatics initiatives in the Observational Health Data Sciences and Informatics (OHDSI), Healthcare Information Management Systems Society (HIMSS), and/or American Medical Informatics Association (AMIA) communities • Advance, present, and publish novel methodologies in the fields of data science, informatics, and health technology assessments (HTA) at international/national congresses and in scientific and technology journals 
We are seeking an individual that is comfortable working independently and can initiate and execute innovative projects that bridge data science, informatics, and/or HTA methodologies.  The individual should also be comfortable solving complex problems across multi-functional teams, bring a flexible mindset with the ability to identify, generate and evaluate alternatives best suited to business needs, and have entrepreneurial and intellectual curiosity applied to understanding of health data

Education Minimum Requirement: 
- Doctoral degree in business, economics, epidemiology, genetics, health services research, informatics, biostatistics, computer science, engineering, public health, policy, or a related discipline.Required Experience and Skills: 
-  3+ years of experience in the design and implementation of quantitative science methods in healthcare industry-  Demonstrated excellence in interpersonal communications (written and oral)- Entrepreneurial and evidence of intellectual curiosityPreferred Experience and Skills:- Experience applying artificial intelligence, predictive analytics, and blockchain in healthcare- Experience in the OHDSI, HIMSS, and/or AMIA communities- Experience visualizating and communicating data in multiple ways- Experience in business development

Job: Outcomes Research -Health Econ
Other Locations:
Employee Status: Regular
Travel: Yes, 10 % of the Time
Number of Openings:
Shift (if applicable):
Hazardous Materials:
Company Trade Name: Merck

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