Senior Scientist, Translational PK/PD

Job Description

The department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB) is seeking a curious and collaborative Senior Scientist for our growing Translational PK/PD organization. The Translational PK/PD Senior Scientist is a skilled mathematical modeler and scientist who designs and executes analyses, with supervision, guiding drug discovery strategy with a focus on biologics, protein therapeutics, and peptides.

The Translational PK/PD Senior Scientist will:

• Serve as PK/PD modeler in cross-functional teams, to make model-informed decisions about drug discovery, modality selection, and dose prediction across therapeutic areas;

• Integrate in vitro and in vivo data to build PKPD, PBPK, quantitative systems pharmacology (QSP), or other mechanistic modeling platforms of drug disposition and pharmacology, to support forward/reverse translation for both established and novel therapeutic targets;

• Collaborate across our PDMB and broader Discovery / Translational organization to design experimental studies and modeling plans, to identify and optimize drug candidates;

• Collaborate in the design of automated workflows for implementing modeling platforms, to inform human PK/PD and dose projections;

• With guidance from experienced modelers, continue to build expertise and leadership skills in translational modeling and drug discovery.

In addition to the responsibilities described above, the Senior Scientist will demonstrate strong leadership and communication skills, drawing upon their training and experience to enable model-informed drug discovery.

NOTE: This role is available in South San Francisco, CA, West Point, PA or Boston, MA based on candidate preference.

QUALIFICATIONS:

Education:

• Master's (with 3+ years), PharmD (with 1 year) or Ph.D. in pharmacokinetics/pharmacodynamics, mathematics, applied mathematics, systems biology, computational biology, chemical/biomedical engineering, statistics/biostatistics or related discipline and experience with increasing responsibility and independence in drug discovery / development, within industry, academia, regulatory or non-profit settings

Required Experience and Skills:

• Experience performing hands-on translational PKPD modeling using standard modeling software (e.g., Matlab, OSP Suite, Monolix, R)

• Strong skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and/or statistics

Preferred Experience and Skills:

• Experience using mathematical modeling to inform decisions related to discovery / development of biologics, protein therapeutics, and/or peptides

• Demonstrated ability to work in interdisciplinary teams and in collaborative problem solving

• Expertise in developing novel PKPD, PBPK, QSP, or related mechanistic modeling approaches

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Required Skills:

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The salary range for this role is

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.

We offer a comprehensive package of benefits.  Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.

You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance

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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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