Job DescriptionThe department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB) is seeking a curious and collaborative Scientific Associate Director for our growing Translational PK/PD organization. The Translational PK/PD Associate Director is an expert mathematical modeler and scientist who independently designs and executes analyses with minimal supervision, guiding drug discovery strategy with a focus on biologics, protein therapeutics, and peptides.
The Translational PK/PD Scientific Associate Director will:
- Serve as expert 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 and guide broader translational strategy across programs;
- Guide the design of automated workflows for implementing modeling platforms, to inform human PK/PD and dose projections;
- Provide scientific and modeling guidance to junior colleagues.
In addition to the responsibilities described above, the Associate Director will demonstrate excellent leadership and communication skills, building effective partnerships across departments to guide 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 8+ years), PharmD (with 6+ yearS) or Ph.D. (with 4+ years) 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), for discovery / development of biologics, protein therapeutics, and/or peptides
- Expert skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and statistics
Preferred Experience and Skills:- Demonstrated experience working in interdisciplinary teams and in collaborative problem scoping/planning
- Expertise in developing novel translational modeling strategies or automated workflows that rely on PBPK, QSP, or related mechanistic modeling
#EligibleforERP
Required Skills: Biologics, Biostatistics, Data Analysis, Data Modeling, Data Science, Drug Discovery Process, Interdisciplinary Collaboration, MATLAB, Peptides, Pharmacodynamics, Pharmacokinetics, Pharmacotherapeutics, PKPD Modeling, Proteins, Statistical Analysis, Translational Pharmacokinetics and Pharmacodynamics (PKPD)
Preferred Skills: Current Employees apply HERE
Current Contingent Workers apply HERE
US and Puerto Rico Residents Only:Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
The salary range for this role is
$156,900.00 - $247,000.00
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
Search Firm Representatives Please Read Carefully 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/International
VISA Sponsorship:Yes
Travel Requirements:10%
Flexible Work Arrangements:Hybrid
Shift:1st - Day
Valid Driving License:No
Hazardous Material(s):N/A
Job Posting End Date:09/30/2026
*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. 
