Pharmacometrician
Parexel
This listing was originally posted on Parexel's careers page. Formulate is an equal opportunity job aggregator and is not involved in the hiring process. Where salary information is estimated, it is derived from BLS industry benchmarks and may differ from actual compensation.
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At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.
Key Accountabilities:
Provides pharmacometric expertise and leadership to projects.
Develops model informed drug development (MIDD) plans across projects and disease areas in order to optimize prospective studies, inform drug development strategy and project decision-making, in collaboration with partners.
Conducts and reports quantitative analyses which integrate knowledge of pharmacokinetics, pharmacodynamics, patient characteristics, and disease states to optimize doses, dosage regimens and study designs throughout clinical drug development.
Identifies opportunities where modeling and simulation can advance the understanding of pharmacological activity, efficacy and safety.
Acts as pharmacometric Subject Matter Expert (SME), including proactive support and development of quantitative methodology, software, hardware, and related business processes, in addition to training to the the global clinical pharmacology organization.
Minimal Requirements
Basic Qualification(PMX):An interest and experience of pharmacostatistical methods of data analysis and study design are essential.
Ideal qualifications include M.S., Pharm.D, PhD or equivalent degree with training and/or expertise in one or more areas related to pharmacostatistical modeling (e.g., pharmacometrics, pharmacokinetics, clinical pharmacology, statistics, or related discipline).
Candidates from alternative backgrounds (e.g. mathematics, engineering, system biology, medicine) will be considered if they can demonstrate relevant experience and expertise.
Communication Skills: demonstrates excellent verbal and written communication skills (both CN and EN)
Degree in a life science, nursing qualification or relevant clinical and or clinical management experience
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