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Associate Principal Scientist, In Vivo Pharmacology

Merck · South San Francisco, California, United States

Full-time Posted 5 days ago

About this role

<p style="text-align:left"><b>Job Description</b></p><p style="text-align:inherit"></p><p>At our company, we are committed to improving the health and well-being of people around the world. As a leading global pharmaceutical company, we strive to make a difference through innovative research and development of life-saving medications and vaccines. Our company's Research Laboratories in South San Francisco is seeking<b> </b>a highly motivated and accomplished Associate Principal Scientist to join our Quantitative Biosciences (Pharmacology) department

This role will focus on developing in vivo pharmacology strategy and pharmacodynamics (PD) and efficacy models for cardiometabolic, renal, and respiratory diseases, as well as establishing quantitative PK/PD relationship and preclinical proof-of-concept. Working with a team of multidisciplinary scientists, this individual will apply knowledge of translational animal models, in vivo technology platforms, and quantitative pharmacology to advance pipeline of therapeutic programs. The ideal candidate will possess strong technical skills and deep scientific expertise to manage complex projects both internally and with external partners.</p><p></p><p><b>Key Responsibilities:</b></p><ul><li>Drive in vivo pharmacology strategy: Act as a scientific leader, defining and executing in vivo model development and pharmacology strategy for preclinical programs

Design and execute target engagement, PD, and efficacy studies, ensuring high scientific and ethical standards. Provide expert troubleshooting for complex surgical and study protocols.</li><li>Leverage disease area expertise for project support: Apply relevant knowledge and expertise in the pathogenesis of cardiometabolic, renal, or respiratory disorders to guide model selection and prioritization.</li><li><p>Lead model development & validation: Drive the development, characterization, and selection of relevant in vivo models for target validation, compound screening and charac

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