As a Senior Scientist, you will participate on cross-functional teams of knowledge scientists to discover and advance the clinical development of novel therapeutic agents for cardiometabolic, ophthalmic, immunologic disorders, infectious diseases, vaccines or neurodegenerative diseases. More specifically, you will apply your quantitative skills to develop and implement translational PK/PD strategies, characterize clinical population pharmacokinetics and pharmacodynamics of biologics, small molecules and non-traditional therapeutics like peptides, novel biological constructs and others, perform clinical trial simulations, comparator modeling and other model-based analyses to inform dose selection and schedule, clinical trial design and go/no-go decisions. On the job, you will develop a comprehensive understanding of global regulatory requirements for experimental therapeutics, contribute to regulatory documents and interactions with agencies, and work to frame critical drug development questions to optimize drug development using model-based approaches.
The ideal candidate is collaborative, eager to learn and not intimidated by tough scientific challenges. You will quantitatively analyze and interpret new data and integrate it with existing information to apply the knowledge gained towards the advancement of Merck’s pipeline. In addition, you are encouraged to share innovative insights and ideas within the department to advance our science. Excellent communication skills are required including the ability to clearly present scientific data in group settings.
You have a unique opportunity to advance your career as a quantitative drug developer while learning the fascinating world of pharmaceutical R&D in one of the world’s most research-intensive biopharmaceutical companies.
• A Ph.D. or equivalent degree - OR- a PharmD or equivalent degree with at least two years of experience - OR- a MS or equivalent degree with at least four years of experience, where “experience” means having a record of increasing responsibility and independence in a similar role in pharmaceutical drug development or academia
• An educational background in PK/PD, pharmaceutical sciences, pharmacometrics, mathematics, statistics/ biostatistics, computational biology/chemistry, or chemical/biomedical engineering.
• Proficiency in R, Matlab, or other similar programing language
• Proficiency in written and verbal communication
• Experience in performing population PK and PK/PD analyses
• Experience with standard pharmacometric software (e.g. NONMEM, Monolix, Phoenix, etc.)
• Skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and statistics