Jobs · Analyst · California

Principal Scientist - Modeling & Simulation

Amgen · Thousand Oaks, CA · 1 mo ago
On-siteAnalystFull-time

What You Will Do

Let’s do this. Let’s change the world. In this vital role you will support Amgen clinical development and translational sciences programs across multiple therapeutic areas as part of the Clinical Pharmacology, Modeling and Simulation department.

  • Building pharmacostatistical models to support Population Pharmacokinetics/Pharmacodynamic (PKPD) and exposure-response analyses using relevant state of the art modeling and simulation techniques.
  • Conducting binary and categorical and binary data analyses, time-to-event (hazard) models, Poisson models, MCMC and Bayesian methods as applied to exposure-response analyses and Population PK and PKPD analysis.
  • Performing meta-analysis using proprietary and/or literature data.
  • Participating in cross-functional project teams and providing scientific input for dose selection, early and late study designs using modeling and simulation inputs.
  • Contributing to clinical pharmacology strategy for the program(s) and implementing project plans.
  • Generating modeling reports and contributing to the summary documents for regulatory submissions.

What We Expect Of You

  • Doctorate degree PhD OR PharmD OR MD [and relevant post-doc where applicable] and 2 years of Pharmacokinetics/Pharmacodynamic or statistical modeling experience OR Master’s degree and 5 years of Pharmacokinetics/Pharmacodynamic or statistical modeling experience OR Bachelor’s degree and 7 years of Pharmacokinetics/Pharmacodynamic or statistical modeling experience
  • Preferred Qualifications: PhD in pharmaceutical sciences, applied statistics/mathematics, bio-statistics, and/or engineering or related fields with equivalent professional degrees (e.g. MD, PharmD) with 3 years of PK/PD or statistical modeling experience5 + years industry or relevant academic experience in pharmacometric analyses and/or applied bio-statistics of small molecules and/or biologics.Proficiency in modeling software (e.g. NONMEM, SAS, R/S-Plus, STAN, MATLAB)

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