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Associate Principal Scientist, Quantitative Pharmacology and Pharmacometrics

Merck


Location:
Rahway, NJ
Date:
07/19/2017
2017-07-192017-08-18
Job Code:
QUA005203
Merck
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Job Details

Job Title: Associate Principal Scientist, Quantitative Pharmacology and Pharmacometrics  - QUA005203

Description
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.
 
Associate Principal Scientists in Quantitative Pharmacology and Pharmacometrics (QP2) apply quantitative approaches to develop and implement translational PK/PD strategies, characterize clinical pharmacokinetics and pharmacodynamics of new chemical entities, and inform dose selection and go/no-go decisions. Associate Principal Scientists perform job duties independently with minimal supervision, are capable of supporting or leading QP2 efforts on drug/vaccine development programs, and of authoring strategic documents. Associate Principal Scientists are expected to have or be developing expertise in several scientific key areas for QP2, including:
  • Serving as an expert representative for QP2 on drug/vaccine development teams 
  • Framing critical drug development questions for optimizing model-based development
  • Developing and executing translational PK/PD models, population pharmacokinetic models, exposure-response (PK/PD) models, stratification biomarker models, QSP and disease progression models, clinical trial design via outcome/enrollment modeling and simulation, comparator modeling, absorption/biopharmaceutical modeling, clinical utility index modeling, and other model-based analyses
  • Maintaining a comprehensive understanding of global regulatory expectations for small molecules and biologics, authoring regulatory documents (INDs, CSRs, CTDs), and representing QP2 at regulatory meetings
The Associate Principal Scientist is a skilled modeler and a quantitative drug/vaccine developer, with a strong, integrated understanding of the strategic elements of drug discovery and development, and leads the combined efforts of QP2 & the wider Department of Pharmacokinetics, Pharmacodynamics and Drug Metabolism (PPDM). In addition to the responsibilities described above, Associate Principal Scientists demonstrate excellent leadership and communication, and collaborate with PPDM and other functional area leaders to create an aligned, quantitative framework impacting strategies and decisions of drug development teams, and to provide scientific/strategic leadership and influence on drug development teams. 



Qualifications
Education: 
  • Educational background in biopharmaceutics, pharmaceutical sciences, pharmacometrics, mathematics, statistics/biostatistics , computational biology/chemistry, chemical/biomedical engineering, or a related field. 
  • Ph.D. with a minimum 3 years experience OR an MS with a minimum 7 years of experience in a similar role in pharmaceutical drug development or academia, with a record of increasing responsibility and independence. 

Required: 
  • The above educational/experience are required 

Preferred:
  • An excellent record of increasing responsibility, independence, and demonstrated impact in driving drug development decisions through application of model-based approaches in the pharmaceutical industry. 
  • Strong skills in experimental design, mathematical problem solving, critical data analysis/interpretation, statistics, and hands-on computer modeling skills. 
  • Proficiency with the use of one or more of the following software packages: NONMEM, R, Matlab, SPlus, WinNonLin, Phoenix. Experience with NONMEM and with the statistical software package R is strongly preferred.
  • Solid proficiencies in written and verbal communication, interpersonal skills, problem scoping and planning, and the ability to participate in and lead interdisciplinary teams, are critical.

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


Job Quantitative Sciences Generic

Primary Location NA-US-NJ-Rahway

Other Locations NA-US-PA-Upper Gwynedd, NA-US-PA-West Point, NA-US-MA-Boston

Employee Status Regular

Number Of Openings 6

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