Associate Director, Data Sciences

Company: Merck
Location: Boston, Massachusetts, United States
Type: Full-time
Posted: 01.NOV.2018


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...


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 legacy for over a century. 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 interfacing both externally with vendors and clients, and internally with Merck leaders. Responsibilities include (but are not limited to):

+ Developing strategic partnerships to generate insights that inform healthcare decisions and policy through novel studies, methods, and technologies

+ Leading and conducting data analytic projects using standard and advanced analytic methods

+ Leading knowledge management and data innovation initiatives to increase access to and interoperability of data, models, analytics, and evidence

+ Establishing rapid, interactive, and self-service analytic and data visualization capabilities and workflows

+ Advancing the development and diffusion of open-source health economic modeling methodologies

+ Leading 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

+ Maintaining awareness and communication of scientific and technologic developments within the fields of data science, informatics, and health technology assessment (HTA)

+ Advancing, presenting, and publishing novel methodologies in the fields of data science, informatics, and 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 HTA methodologies. The individual should also be comfortable solving complex problems across multi-functional teams (e.g., the Value Evidence Sub-team) and the product development lifecycle, 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 and utilization of human health data.

Education Minimum Requirement:

+ Doctoral Degree in business, economics, epidemiology, genetics, health services research, informatics, biostatistics, computer science, engineering, public health, policy, medicine, or a related discipline.

Required Experience and Skills:

+ 3 years hands on 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 curiosity

Preferred Experience and Skills:

+ Experience applying artificial intelligence, predictive analytics, and blockchain in healthcare

+ Leadership experience in the OHDSI, HIMSS, and/or AMIA communities

+ Experience with OHDSI and common data models

+ Experience developing health and medical informatics

+ Experience in business development

Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we?re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we?re inventing for life.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to .

Search Firm Representatives Please Read Carefully:

Merck & Co., Inc. is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Merck via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.

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Merck is an equal opportunity employer, Minority/Female/Disability/Veteran ? proudly embracing diversity in all of it?s manifestations.



**Job** _Outcomes Research -Health Econ_

**Other Locations:** _NA-US-PA-Upper Gwynedd, NA-US-NJ-Rahway_

**_Title:_** _Associate Director, Data Sciences_

**_Primary Location:_** _NA-US-MA-Boston_

**_Requisition ID:_** _OUT000606_

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