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
Scientific Question
In vitro assays are a crucial tool to assess the potency of antivirals against respiratory viral infections. However, their ability to predict an antiviral effect clinically has not been well established. The goal of the project is to build viral dynamics models to translate from preclinical data to clinical outcomes. This project will focus on: 1) in vitro viral infection kinetics, 2) in vivo viral dynamics in clinical studies, 3) pharmacokinetics. By demonstrating a clear preclinical-to-clinical translation, the in vitro assay can be validated. The results of these analyses will be used to support the generation of more clinically translatable data at-scale, which will ultimately identify promising therapeutic candidates and maximize the probability of success during drug development.
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What is the Position?
As a Postdoctoral Research Fellow in Quantitative Pharmacology and Pharmacometrics, you will work with a collaborative team of scientists in quantitative pharmacology and quantitative biosciences. You will develop new quantitative models using published and in-house data on the kinetics of respiratory viral infection in vitro and in vivo. These models will then be validated and used for preclinical to clinical translation of antiviral potency against respiratory viral infection. All Postdoctoral Research Fellows work with a dedicated mentor, collaborate with experienced scientists, and are fully integrated into the larger Quantitative Pharmacology and Pharmacometrics group.
Responsibilities include but are not limited to:
- Surveying and curating the literature for preclinical and clinical data for antivirals against respiratory virus infection;
- Synthesizing published data with in-house data on our company's assets to develop analysis datasets;
- Developing viral dynamics models of different respiratory virus infections based on in vitro and in vivo data;
- Collaborating with cross-functional colleagues on how these models can be applied to optimize translatability of the in vitro assay to improve selection of clinical candidates;
- Presenting your research at conferences and/or publish in peer-reviewed journals.
Education Minimum Requirement:
- Candidates must currently hold a PhD or will you have completed your PhD within the next year.
- Degree in physics, mathematical biology, mathematics / applied mathematics, computer science, computational biology / chemistry, pharmacokinetics and pharmacodynamics, pharmacometrics, chemical / biomedical engineering, systems biology, or a related field.
Required/Desired Experience and Skills:
- Experience with mathematical modelling of biological systems.
- Proficiency in at least one programming language or pharmacometrics application (e.g., R, MATLAB, Python, NONMEM, Monolix, or other language);
- Scientific writing skill, demonstrated by publication record (includes preprints).
Preferred Experience and Skills:
- Experience with viral dynamics modelling/mathematical modelling of in vitro or in vivo (e.g., within-host) viral infection data;
- Understanding of experimental design and interpretation of data from infectious disease assays;
- Knowledge of respiratory virus biology;
- Experience with pharmacokinetic modelling (e.g., population PK [popPK] modelling);
- Experience working in multidisciplinary teams that include clinicians and biologists.
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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.
Post Doc:
Under New York City, 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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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.
Employee Status:
Regular
Relocation:
Domestic
VISA Sponsorship:
Yes
Travel Requirements:
10%
Flexible Work Arrangements:
Not Applicable
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
NA
Job Posting End Date:
11/19/2024
*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Requisition ID:R316368