Senior Translational PK/PD Modeling Leader

BioSpace

Village of Tarrytown (NY)

On-site

USD 176,000 - 287,000

Full time

11 days ago
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Job summary

Regeneron is seeking an Associate Director of Translational/Preclinical Modeling to develop and implement quantitative PK/PD models that aid target biology and modality selection, guiding early clinical dose selection and study design.

The role requires PhD or MS in relevant fields with 6+ years in modeling and translation across discovery to IND, collaboration across cross-functional teams, and publication of work in journals.

Qualifications

  • Ph.D. or MS in pharmacokinetics, pharmaceutical sciences, engineering, applied mathematics or related disciplines with a track record of applying quantitative and mechanism-based PK/PD modeling and simulation.
  • Greater than 6 years of pharmaceutical industry or related experience in developing mechanism-based PK/PD models to guide R&D teams from early discovery to IND-stage clinical development.

Responsibilities

  • Develop quantitative and mechanistic PK/PD models informing preclinical-to-early clinical translation and human dose predictions.
  • Advance and set strategic direction for modeling and simulation sciences in the organization.
  • Support preclinical PK/PD projects to design and interpret in vitro and in vivo studies and translate to humans.
  • Integrate modeling analyses into information usable by multidisciplinary project teams and present at meetings/pubs.

Skills

PK/PD modeling
Mathematical modeling
Translational pharmacology
Strategic collaboration

Education

PhD or MS in PK/Pharm Sci

Tools

Phoenix NLME
NONMEM
Monolix
MATLAB
SimBiology

Job description

Regeneron is seeking an Associate Director of Translational/Preclinical Modeling to develop and implement quantitative PK/PD models that aid target biology and modality selection, guiding early clinical dose selection and study design.

The role requires PhD or MS in relevant fields with 6+ years in modeling and translation across discovery to IND, collaboration across cross-functional teams, and publication of work in journals.

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