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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