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An innovative company in the pharmaceutical development sector is seeking an Associate Director of Pharmacometrics. This role offers the chance to lead model-informed drug discovery initiatives, develop critical pharmacometric analyses, and engage in regulatory processes. With a focus on career advancement, flexible remote work, and a culture that values diversity, this position is ideal for professionals looking to make a significant impact in drug development. If you have a strong background in pharmacometrics and a passion for collaboration, this opportunity could be your next career milestone.
Employer Industry: Pharmaceutical Development
Why consider this job opportunity:
- Salary up to $242,200.00
- Bonus eligibility and long-term incentives available
- Comprehensive health care and insurance benefits for employees and their families
- Opportunity for career advancement and growth within the organization
- Flexible remote work arrangements
- Engaging and inclusive workplace culture that values diverse ideas
What to Expect (Job Responsibilities):
- Drive model-informed drug discovery and development (MIDD) to enhance decision-making processes
- Develop and execute population pharmacokinetic models, PK/PD models, and other pharmacometric analyses
- Frame critical drug development questions to optimize model-informed development
- Author or co-author regulatory documents and represent the team at regulatory meetings
- Lead QP2 efforts on drug/vaccine development programs with minimal supervision
What is Required (Qualifications):
- Ph.D. or equivalent degree with a minimum of 3 years of experience, or PharmD with at least 5 years of experience, or MS with at least 7 years of experience in pharmaceutical drug development or academia
- Educational background in pharmacometrics, biopharmaceutics, pharmaceutical sciences, mathematics, statistics, or related fields
- Proficiency in performing pharmacometrics analyses such as population PK, PKPD, and ER
- Knowledge of drug development and pharmacokinetics principles
- Strong analytical and problem-solving skills
How to Stand Out (Preferred Qualifications):
- Proficiency in standard pharmacometric software (e.g., R, NONMEM, Monolix, Matlab)
- Strong skills in experimental design and data analysis
- Excellent written and verbal communication skills
- Proven ability to collaborate across interdisciplinary teams
- Good interpersonal skills for productive interactions among diverse personalities
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