Associate Director, Quantitative Pharmacology and Pharmacometrics Immunology (R4)
USA - New Jersey - Rahway
Job Description
The Quantitative Pharmacology and Pharmacometrics (QP2) Department of our Company Research Laboratories in West Point, PA / Rahway, NJ is seeking a curious and collaborative Associate Director to support our rapidly expanding immunology pipeline.
As an Associate Director, you will participate on cross-functional teams of experienced scientists to discover and advance the clinical development of novel therapeutic agents for immunologic disorders. More specifically, you will apply your quantitative skills with limited supervision 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. You will apply your expertise to frame critical drug development questions to optimize drug development using model-based approaches and influence cross-functional teams to adopt such strategies. Finally, you maintain a comprehensive understanding of global regulatory expectations and contribute to regulatory documents and interactions with agencies.
The Associate Director is a skilled modeler and a quantitative drug developer, with a strong, integrated understanding of the strategic elements of drug discovery and development and leads the QP2 efforts. The ideal candidate is collaborative, possesses a learning mindset and can work through scientific challenges within and between departments to develop aligned strategies and deliver solutions. In addition, you share your skills and ideas with the department to advance our science. Excellent communication skills are required including the ability to clearly present scientific data in group settings.
Within QP2, you have a unique opportunity to accelerate your professional career as a quantitative drug developer taking advantage of our end-to-end pipeline support in one of the world’s most research-intensive biopharmaceutical companies.
Required:
A Ph.D. or equivalent degree with at least 3 years of experience - OR- a PharmD or equivalent degree with at least 5 years of experience - OR- a MS or equivalent degree with at least 7 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.
Experience in performing population PK / PKPD analyses using standard pharmacometric software (e.g. NONMEM, Monolix, Phoenix, R, Matlab)
Expertise in development and modeling of complex therapeutic modalities
Proficiency in written and verbal communication …
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Hybrid Hybrid work model
Benefits/PerksFlexible work arrangements Hybrid work Insurance Meetings Paid holidays Retirement benefits Sick Days Vacation
Tasks- Business intelligence
- Collaboration
- Communication
- Data Analysis
- Data modeling
- Data visualization
- Innovation
- Machine Learning
- Problem solving
- Project management
- Software development
Analysis Biologics Biology Biomedical Engineering Biostatistics Business Intelligence Business Operations Chemical Engineering Chemistry Clinical Development Clinical Trial Design Collaboration Communication Computational Computational Biology Cross-functional Teams Data Data analysis Database design Data engineering Data Science Data Visualization Design Drug Development Drug Discovery Engineering Experimental Design Immunology Innovation Machine Learning Manufacturing Mathematical problem solving Mathematics Matlab Pharmaceutical Sciences Pharmacodynamics Pharmacology Phoenix PK/PD Project Management R Relationship Management Research Small Molecules Software Development Statistics
Experience3 years
EducationBiology Biomedical Engineering Biostatistics Business Chemistry Computational Biology Data Science Engineering Immunology Management Mathematics MS Pharmaceutical Sciences Pharmacology Pharm.D Ph.D. Science Statistics
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