POSTDOCTORAL RESEARCH FELLOW BIOSTATISTICS & RESEARCH DECISION SCIENCES
January 25, 2018
Rahway, New Jersey
Full Time - Experienced
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.
POSTDOCTORAL RESEARCH FELLOW – BIOSTATISTICS & RESEARCH DECISION SCIENCES Rahway, NJ Job # POS000224
Be a part of the legacy: MRL Postdoctoral Research Fellow Program
The Merck Research Laboratories (MRL) Postdoctoral Research Fellow Program aims to be a best-in-industry program for industrial postdoctoral researchers, designed to provide you with an academic focus in a commercial environment. With the resources, reach, and expertise of a large pharmaceutical company, postdoctoral researchers will be positioned to excel in an institution committed to breakthrough innovation in research and discovery.
As a postdoctoral fellow in Merck Research Labs Biostatistics and Research Decision Sciences (BARDS) based in Rahway, NJ or Upper Gwynedd, PA you will work with a highly collaborative team of scientists to design, develop and evaluate statistical models for benefit-risk analysis to identify patient subgroups using novel data-driven approaches. This work will enable better understanding of BR profiles of target subpopulations to deliver improved treatment strategies.
Responsibilities include but are not limited to:
Based on real clinical trial data, carry out simulations to address realistic scenarios/issues identified as relevant for BR subgroup analysis
Develop expertise in Multi-Criteria Decision Analysis (MCDA) and win ratio methods to address multiple and potentially conflicting criteria, differing perspectives, and uncertainty
Develop expertise in statistical learning including clustering and Principal Component Analysis to identify patient characteristics to treatment response
Develop expertise in visual analytics to develop appropriate visual/graphical displays to support the interpretation and to aid decision-making
Develop and maintain good working relationship with internal and external experts in the field
Education Minimum Requirement:
PhD with less than 3 years of Postdoctoral Experience or achieved a PhD by Spring/Summer of 2018
Required Experience and Skills:
Skilled in statistical modeling and learning, preferably in clinical trials
Experience with benefit-risk analysis
Experience in statistical learning including supervised and unsupervised learning
Experience and willingness to work in a cross-functional team
Preferred Experience and Skills:
Strong statistical coding skills with the ability to develop statistical methods, simulations and applications on real life data in R and/or SAS
Experience with, and awareness of the issues surrounding subgroup analysis in clinical development
Knowledge of and familiarity with the regulatory requirements of benefit-risk assessment
Experience with statistical approaches to dynamic treatment allocation and individualized treatment regimes (ITRs)
Excellent writing skills with strong history of publication in peer-reviewed journals
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 firstname.lastname@example.org.
To be considered for this position, please visit our career site at merck.com/careers, search jobs, create a profile and submit your resume for requisition # POS000224 to: