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Associate Director Outcomes Research and Data Science

Company name
Merck & Co., Inc

Lansdale, PA

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Associate Director, Outcomes Research and Data Science

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.

Position Summary:

Who you are: You are a data scientist with interests in population health. You are inherently curious with a strong desire to design and prototype applications for data analytics and interactive visualization in order to reveal relations in data beyond the obvious.

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 product value evidence 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.

The ideal candidate will be a seasoned data scientist with experience in large-scale healthcare data analysis, with emphysis on data visualization and user interface design/prototyping. S/he will be experienced working in environments demanding diverse data sources, such as clinical trial data, electronic health record data, insurance claims data, and disease/patient registry data. The candidate must be hands-on and action oriented with a demonstrated ability to deliver on data-driven research projects. The candidate has demonstrated ability to actively listen, integrate input from diverse sources, and collaboratively translate medical or business questions into data and analysis requirements and a clear path forward.

This role will be required to maintain a deep scientific and analytical understanding of healthcare data, from data generation, collection, integration to its analysis, visualization and interpretation, and to publication. This role will also be empowered to actively improve and innovate upon each of those areas.

Overall responsibilities include:

Design and prototype applications for data analytics and interactive visualization

Directly participate in multiple analytics projects

Collaboratively develop analysis plans based on clinical or business questions, and lead their execution through the use of existing analytic approaches or the development of novel ones.

Work with cross functional team to formulate loosely defined problems into concrete deliverables

Interpret data analysis results in clinical or business context, and articulate the implications of the results to the business function

Represent the Economic and Data Sciences group and its capabilities in meetings with nontechnical peers

Work in a fast-paced multidisciplinary dynamic environment, and as necessary create examples, prototypes, demonstrations to help the business better understand innovative solutions

Collaborate with team members to meet project checkpoints and accomplish team objectives

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

Conduct advanced data analysis and utilize/develop appropriate algorithms to discover patterns and associations.

Provide 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.

Effectively communicate findings and methodological approaches

Key competencies, skills, and attributes:

Advanced knowledge of a subset of analytical approaches (ex. machine learning, statistical analysis, predictive modeling, visual analytics) and the desire to continually learn and grow your analytical skillset

Ability to work with structured and unstructured data

Excellent communication skills with an ability to communicate complex matters in laymen?s terms

Ability to multi-task and work under time pressure

Demonstrated ability to engage in effective joint problem-solving to address key challenges

Create mockups to facilitate brainstorming and iteration toward a UI solution

Understanding of core design principles

Experience building custom visualizations using a JavaScript library such as D3.js or equivalent

Education Requirement:

3 years experience in pharmaceutical / biotechnology / healthcare / health IT industry

Advanced degree (MSc., MPH, PhD) in Biostatistics, Epidemiology, Computer Science, Informatics, Mathematics, or related field with a substantial statistical component; or postdoctoral fellowship and/or accredited training in data-related sciences with a substantial statistical component

At least 2 years education or experience in observational healthcare data analyses

Required Experience and Skills :

Advanced hands-on knowledge of R and/or Python

Working knowledge of SQL and relational databases

Experience building custom visualizations using a JavaScript library such as D3.js or equivalent

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

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

Entrepreneur mindset

Effective communication

Preferred Experience and Skills:

Experience with Python is preferred

Experience with Spark platforms and related ?big data? technologies is preferred

Experience working in Cloud Computing environments (ex AWS) is preferred

Experience analyzing data from traditional healthcare databases (electronic medical records, claims, etc) is preferred

Experience on social media data and mHealth data is preferred

Experience using business intelligence frameworks (such as Tableau or equivalent) is preferred

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.

Visa sponsorship is not available for this position.

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

EEOC Poster at ****************************************************************

EEOC GINA Supplement? at **************************************************************

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

Job _Outcomes Research -Health Econ_

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

Other Locations: _NA-US-PA-Upper Gwynedd_

_Title:_ _Associate Director, Outcomes Research and Data Science_

_Primary Location:_ _NA-US-MA-Boston_

_Requisition ID:_ _OUT******_

- ID#: *********

- Location: Lansdale, PA , 19446

- Type: Science

- Company: Merck


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Company info

Merck & Co., Inc
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Company Profile
Merck has a long and rich history of working to improve people's health and well-being. Through the years, our researchers have helped to find new ways to treat and prevent illness - from the discovery of vitamin B1, to the first measles vaccine, to cold remedies and antacids, to the first statins to treat high cholesterol. Our scientists also have helped develop many products to improve animal health, including vaccines and antibiotics. /images/merck-history-timeline-screen.jpgWhile we are proud of our past, we are enthusiastic about the future of this new company and we are excited to help create a healthier, brighter future for people around the world.

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