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Director, Statistics - Statistical Innovation (Office-based)

AbbVie
Full-time
Remote friendly (Irvine, CA)
United States
$177,000 - $336,000 USD yearly
Clinical Research and Development

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Role Summary

Director, Statistics - Statistical Innovation (Office-based)

Responsibilities

  • Lead and drive modeling and simulation capabilities in AbbVie's statistical innovation group
  • Leverage state of art modeling and simulation techniques to propose, evaluate and optimize clinical trial designs in terms of time, cost and probability of success
  • Collaborate with study teams and other functions to proactively evaluate population feasibility, IC/EC impact, patient diversity and other operational insights at the design stage
  • Collaborate with study teams and other functions to proactively evaluate state-of-art scientific statistical designs using modeling and simulation
  • Collaborate with Clinical Pharmacology on QSP and MIDD related activities
  • Build and maintain external reputation and influences in the industry with presentations, invited talks and peer-reviewed publications

Qualifications

  • Ph. D in statistics, biostatistics or related fields with at least 10 years of related work experience
  • Excellent oral and written communication skills
  • Excellent leadership skills
  • Proven ability to collaborate and consult with discipline experts and leaders within and across functions
  • Passionate about modeling and simulation, innovation, always thinks out of the box and is never satisfied with the status quo
  • Strong publication records highly desired
  • Demonstrated expertise and experience in advanced statistical modeling and simulation
  • Proficiency in development, implementation and rollout of statistical tools and techniques using R, R-shiny, Python, Julia etc. to operationalize key innovative methodologies
  • This role will work a hybrid work schedule from our North Chicago, IL, Florham Park, NJ or Irvine, CA offices.

Skills

  • Statistical modeling and simulation
  • Machine Learning and advanced predictive modeling
  • R, R-shiny, Python, Julia or related programming languages
  • Scientific communication and collaboration across functions

Education

  • Ph.D. in statistics, biostatistics or related fields