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A leading pharmaceutical company is seeking a QSP expert to develop and execute model-based analyses. The role involves collaborating with cross-functional teams to enhance understanding of clinical trials and disease mechanisms, offering opportunities for career advancement and remote work flexibility.
Employer Industry: Pharmaceutical Development
Why consider this job opportunity:
- Salary up to $242,200
- Eligible for annual bonus and long-term incentives
- Comprehensive benefits package including medical, dental, vision, retirement benefits, paid holidays, and vacation
- Opportunity for career advancement and growth within the organization
- Collaborative work environment with cross-functional teams
- Remote work flexibility for candidates outside of commutable distance
What to Expect (Job Responsibilities):
- Serve as a QSP expert for developing and executing model-based analyses, including QSP and mechanistic PK/PD models
- Assist asset development teams in designing and prioritizing combination clinical trials using QSP models
- Collaborate closely with biologists, clinicians, and pharmacometricians to enhance understanding of disease mechanisms
- Frame critical questions and strategies for optimizing model-based analyses on programs
- Author regulatory documents and represent the QP2-IO team at regulatory meetings
What is Required (Qualifications):
- Ph.D. with at least four years of pharmaceutical drug development experience, or a Master's/PharmD with at least six years of experience
- Proven experience in developing mechanistic PK-PD and QSP models for clinical development
- Skills in experimental design, mathematical problem-solving, critical data analysis, and statistics
- Proficiency in modeling and simulation software or programming languages (e.g., MATLAB, R)
- Professional working proficiency in written and verbal communication
How to Stand Out (Preferred Qualifications):
- Experience with mechanistic modeling for antibody drug conjugates (ADCs), bispecifics, or T-cell engagers
- Familiarity with R NONMEM, WINNONLIN, or similar programming languages
- A record of increasing responsibility and independence in drug development decision-making
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