Postdoctoral Research Fellow- Modeling Systems Pharmacology & Obesity Research

Job Description

Be a part of the legacy: Postdoctoral Research Fellow Program

Our Research Laboratories’ 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.

Position Overview:

The Quantitative Pharmacology and Pharmacometrics department of our company's Research Laboratories in Rahway, NJ is seeking a curious and collaborative Postdoctoral Scientist with a strong interest to develop quantitative models of biological systems.  The successful candidate is eager to learn and excited to overcome scientific challenges.  You will build a mechanistic mathematical model based on publicly available information that integrates key pharmacological and physiological pathways to quantitatively understand the interplay among pathways involved in the regulation of body weight and body composition.  Such a model enables prioritization of potential anti-obesity drugs with different modes of action based on projected clinical benefit and provide means to explore favorable drug combinations.  Furthermore, it could be used to explore the impact of different background therapies in clinical obesity trials.  The postdoctoral scientist will have the opportunity to work in collaboration with data scientists, modelers, biologists, and clinicians at our company's laboratories.

Responsibilities include but are not limited to:

• Develop a quantitative systems pharmacology (QSP) model of key pathways regulating body weight and body composition in obesity

• Conduct literature searches to inform key pathways and identify relationships between components in the model

• Qualify the model with existing clinical data

• Perform simulations and sensitivity analyses

• Collaborate across the scientific network within our company's laboratories

• Invest in your professional and scientific development

• Attend and actively participate to our company and external scientific symposiums and meetings/seminars

• Write and review publications and manuscripts

Education Minimum Requirement:  

• Candidates must currently hold a PhD or will you have completed your PhD by May 1, 2025. 

Required Experience and Skills: 

• A strong passion for science and exited to learn new things

• An educational background in PK/PD, pharmaceutical sciences, pharmacometrics, mathematics, data science, statistics/ biostatistics, computational biology/chemistry, or chemical/biomedical engineering

• Mathematical [or mechanistic] modeling of biological systems using R, Matlab, or other similar programing language

• Proficiency in written and verbal communication

Preferred Experience and Skills:

• Knowledge of obesity or other cardiometabolic diseases

• Experience with software as mrgSolve, Simbiology (Matlab), or others

• Skills in experimental design, mathematical problem solving, critical data analysis/interpretation, or statistics

• Experience with machine learning

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NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separation package, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected salary range:

$75,000.00-$86,000.00

Available benefits include bonus eligibility, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. For Washington State Jobs, a summary of benefits is listed here. 

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Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

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