Associate Director, Data Scientist, CORE Job

Associate Director, Data Scientist, CORE-OUT000368


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. Today, we are building a new kind of healthcare company – one that is ready to help create a healthier future for all of us.

Our ability to excel depends on the integrity, knowledge, imagination, skill, diversity and teamwork of an individual like you. To this end, we strive to create an environment of mutual respect, encouragement and teamwork. As part of our global team, you’ll have the opportunity to collaborate with talented and dedicated colleagues while developing and expanding your career.

The opportunity: By harnessing the power of data sciences and large data contribute to the development of evidence that demonstrates the value of Merck’s pharmaceuticals and vaccines and provides our customers (payers, providers, patients, policy makers) with transformative insights. We aspire to use new technologies and diverse sources of information in order to identify new and actionable bits of information that will positively impact care and wellbeing.

Who you are: You are a data scientist with interests in population health. You are inherently curious with a strong desire to explore relations beyond the obvious, yet systematic and disciplined.

Where you fit in: You will collaborate with and support a diverse set of scientists in the Center for Observational and Real World Evidence (CORE) as you seek to push the boundaries of use of real world data to support market access, reimbursement and other business imperatives. You will help identify business and scientific opportunities as you broaden the scope of collaboration with other functions in the research laboratories. You will have the opportunity to collaborate with IT professionals as you seek to turn meaningful findings into solutions that may be used in care management and clinical decision support. You will do this in a vibrant research environment, with a strong innovative culture and at a national center of the health informatics. You will have access to a wealth of resources and growth opportunities that a large pharmaceutical company can offer.

Position location: Boston, Massachusetts


- Supports the development of statistical models & methodologies in order to quantify, forecast, predict health metrics of interest

- With relevant guidance, designs experiments to test hypothesis and/or validate findings

- Conducts advanced data analysis and utilizes/develops appropriate algorithms to discover patterns and associations.

- Effectively communicates findings and methodological approaches

- Applies advanced statistical and predictive modeling techniques to build, maintain, and improve decision support tools

- Supports ongoing improvements to methods and algorithms that have significant impact on business

- Provides organization with necessary insights both from an IT and a business perspective in order to build appreciation for the quantitative tools and analyses and to drive organizational buy in.


Education Minimum Requirement:

- Master's degree, training in mathematics, statistics, or computer science or related fields; PhD preferred

Required Experience and Skills:

- 2 or more years of relevant quantitative and qualitative research and analytics experience.

- Solid knowledge of statistical techniques

- Strong programming skills (such as Hadoop or other big data frameworks), statistical modeling (like SAS or R)

- Experience using machine learning algorithms

- Proficiency in the use of statistical packages

- Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms

- Good communication and interpersonal skill

- Some industry/business knowledge

Preferred Experience and Skills:

- The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets

- Familiarity with administrative healthcare data, including Medicare/Medicaid

- Exposure/familiarity with SAS Enterprise Miner

- Experience with methods traditionally used in observational research such as causal inference methods, multivariate statistical modeling, etc.

Our employees are the key to our company’s success. We demonstrate our commitment to our employees by offering a competitive and valuable rewards program. Our Company’s benefits are designed to support the wide range of goals, needs and lifestyles of our employees, and many of the people that matter the most in their lives. If you need an accommodation for the application process please email us at

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.

Visa sponsorship is not available for this position.

For more information about personal rights under Equal Employment Opportunity, visit:

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

Job: Outcomes Research -Health Econ

Job Title:Assoc. Dir, Outcomes Research

Primary Location: NA-US-MA-Boston

Employee Status: Regular

Travel: Yes, 15 % of the Time

Number of Openings: 1

Company Trade Name:Merck