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About the Role
The Translational PK/PD Scientific 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.
Responsibilities
- 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 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
- Demonstrate excellent leadership and communication skills, building effective partnerships across departments to guide model-informed drug discovery
Requirements
- 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
- 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
- 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
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)
- Mathematical modeling
- Experimental design
- Mathematical problem solving
- Critical data analysis/interpretation
- Statistics
- PBPK
- QSP
- Automated workflows
Location
- South San Francisco, CA
- West Point, PA
- Boston, MA
Work Type
- Hybrid
- Regular
Experience Level
- Associate Director
- 8+ years (Master's)
- 6+ years (PharmD)
- 4+ years (Ph.D.)
Education Level
- Master's
- PharmD
- Ph.D.
Salary/Compensations
- $156,900.00 - $247,000.00
Benefits
- Annual bonus
- Long-term incentive
- 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
About the Company
- Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA
Equal Opportunity
- As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.
- We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.