2018 MRL Data Analytics and Predictive Modeling Intern

Employer
Merck
Location
Upper Gwynedd, PA, US
Posted
October 12 2017
Discipline
Other
Organization Type
Pharma
Requisition ID: ADM008801

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. 


Merck Research Lab is currentlyrecruiting for a summer intern within Data Analytics & ScientificMethodology, the Center for Observational and Real-world Evidence (CORE). DA&SMsupports reimbursement through Real World Databases (RWD) studies, novelscientific methodology, and machine learning.

 

Responsibilities may include (butare not limited to):

  • Collaborate with internalstakeholders to translate study concepts into analytic plans.
  • Develop or oversee thedevelopment of study protocols and study analysis plans.
  • Execute or oversee the executionof study analysis plans using real world databases.
  • Lead, design, and executepredictive modeling studies using machine learning techniques.

At the conclusion of the term,the Intern will share results and recommended actions as a final projectpresentation.

 

This is a paid intern targeted tostart in May/June 2018 – August 2018.

 

Applicants should have aninterest in supporting human health and drug discovery, and have the ability tocompare and contrast results from various methodologies, and recommend the besttechniques. If you are the kind of individual who thrives on challenge andpossesses the technical, leadership and business skills that are of value toour business, we invite you to apply.

 Aletter of reference from a professor is highly recommended; you may attach itin the same section of the profile as your resume

Qualifications

Education:
  • Required: Candidates must be currently pursuing a Master or PhD degree in Statistics, Data Science, Applied Mathematics, Computer Science, economics, informatics, pharmacy administration, health services research, or related quantitative field
  • Candidates must be returning to school in the Fall of 2018
  • Candidates must have completed at least two semesters of graduate courses by May 31, 2018.
  • RequiredExperience:

  • Candidates must be available to work full-time for 9-12 weeks beginning in May or June of 2018
  • Candidates must have minimum of (1) year of healthcare domain knowledge in life sciences, health data, health IT and/or the payer marketplace.
  • Candidates must have knowledge and experience in SAS or other tools
  • Candidates must have experience applying real-world healthcare data in a health-related industry, academic or research setting
  • Candidates must have an understanding of data mining algorithms and experience applying advanced techniques to large data sets
  • Candidates must be persistent and driven: Demonstrated characteristics of a forward thinker and self-motivator that thrives on new challenges and adapts to learning new knowledge
  • Candidates must have entrepreneurial and intellectual curiosity in the application and communication of health data
  • PreferredExperience:

  • Knowledge in advanced analytics and machine learning techniques. This includes expertise in analytics platforms such as Matlab, R, Python; research experience in analyzing big datasets
  • Experience working with longitudinal real world data assets (e.g., claims, electronic medical records, genomic data, consumer data, social media data, wearables)
  • Understanding of business processes in one or more of discovery, research, clinical, commercial, regulatory or safety domains
  • An understanding of the payment reform or payer-provider structures

  • 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 an accommodation for the application process please email us at staffingaadar@merck.com.

      

    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

                EEOC GINA Supplement 


    FTP2018



    Job: Administrative Svcs Generic
    Other Locations:
    Employee Status: Temporary
    Travel: Yes, 10 % of the Time
    Number of Openings:
    Shift (if applicable):
    Hazardous Materials:
    Company Trade Name: Merck

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