Associate Director, Quantitative Pharmacology and Pharmacometrics, Cardiometabolic

Job Description The Quantitative Pharmacology and Pharmacometrics (QP2) Department within our Company’s Research Laboratories in Rahway, NJ, and West Point, PA is excited to welcome a curious, collaborative, and scientifically driven Associate Director to help support our growing cardiometabolic pipelines. In this role, you will represent QP2 on cross-functional teams of experienced scientists working together to discover and advance novel therapeutic agents for cardiometabolic and ophthalmologic diseases. You will contribute to the discovery and development of small molecules, biologics, and non-traditional therapeutics, including peptides, novel biological constructs, and other emerging modalities. The successful candidate will be a skilled quantitative drug developer with a strong, integrated understanding of the strategic elements of drug discovery and development, a collaborative mindset, excellent communication skills, and the ability to work independently with minimal supervision. Within QP2, you will have a unique opportunity to grow your career as a quantitative drug developer while contributing to an end-to-end pipeline in one of the world’s most research-intensive biopharmaceutical companies. We offer a collaborative, mission-driven environment where your scientific expertise can help shape meaningful decisions and advance innovative therapies for patients. Responsibilities: Develop and apply model-based strategies, including translational PK/PD approaches, mechanistic models, population PK/PD analyses, and clinical trial simulations, to inform quantitative decision-making within and across development programs and departments. These efforts will help optimize drug discovery and development decisions, including dose selection, clinical trial design, and go/no-go recommendations. Represent QP2 on cardiometabolic discovery, early clinical development, and late clinical development teams, using quantitative approaches to support efficient, evidence-based advancement of programs across these growing portfolios. Partner collaboratively with functional area colleagues, external vendors, and strategic partners to build aligned, quantitative, and model-informed approaches that support drug discovery, development, and regulatory decision-making. Collaborate across disciplines on study design, protocol development, study execution, data interpretation, reporting, and communication of results. Maintain a strong understanding of global regulatory expectations and contribute to the development, presentation, and defense of regulatory documents and submissions. Work closely with pharmacometrics colleagues to provide scientific input on modeling strategies, analyses, interpretation, and reporting. Required: Ph.D. or equivalent degree with at least 4 years of relevant experience; PharmD or equivalent degree with at least 6 years of relevant experience; or MS or equivalent degree with at least 8 years of relevant experience. Relevant experience should reflect increasing responsibility and independence in pharmaceutical drug development, a regulatory agency, or academia. Educational background in biopharmaceutics, pharmaceutical sciences, pharmacometrics, chemical or biomedical engineering, or a related quantitative discipline. Experience conducting population PK and PK/PD analyses using standard pharmacometrics software, such as R, Matlab, Phoenix, NONMEM, Monolix, or similar tools. Strong written and verbal communication skills, with demonstrated ability to collaborate across disciplines, scope complex problems, and plan work effectively. Knowledge in modeling complex therapeutics, mechanistic modeling/ QSP. Preferred: Knowledge of cardiometabolic clinical drug development programs. Advanced skills in mathematical problem-solving, critical data analysis and interpretation, experimental design, and statistics. Scientific understanding of the biopharmaceutical and ADME properties of small molecules and/or biologics. A strong record of increasing responsibility, independence, and demonstrated impact in advancing drug development decisions through model-based approaches. Required Skills: Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning (ML), Software Development, Stakeholder Relationship Management, Waterfall Model 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 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: 09/11/2026 ***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. Requisition ID: R413149 #J-18808-Ljbffr Merck