Modeling & Simulation Senior Statistician

Role Summary

Modeling & Simulation Senior Statistician

Responsibilities

• Participates in discussion sessions of EGP development and study design to ensure understanding of the clinical trial design options and collect design inputs from DSI, SDD and study team
• Works with the DSI and the Principal Statistician to develop and finalize simulation plan with detailed specifications and operating characteristics that enable the evaluation and selection of the optimal design options
• Executes simulation plan and summarizes results in outputs in presentation ready visualization
• Works with the DSI and the Principal Statistician to evaluate design options and form design recommendations and finalize simulation report
• Participates in sessions to present simulation results and recommendations to the product/study team
• Contributes to the development of simulation and modeling tools for the design center
• Supports the promotion of innovative designs and analysis methods by contributing to internal training sessions

Qualifications

• Doctorate degree Or
• Master’s degree and 3 years of statistical experience in the pharmaceutical industry or medical research experience Or
• Bachelor’s degree and 5 years statistical experience in the pharmaceutical industry or medical research experience Or
• Associate’s degree and 10 years of statistical experience in the pharmaceutical industry or medical research experience Or
• High school diploma / GED and 12 years of statistical experience in the pharmaceutical industry or medical research experience

Preferred Qualifications

• Doctorate in Statistics/Biostatistics with 1 year of post-graduate statistical experience in the pharmaceutical industry or medical research
• Excellent computing, modeling and simulation skills using R, SAS, WinBugs, FACTS, etc.
• Experience in designing, analyzing and reporting of clinical trials within Pharmaceutical/Biotechnology/Public Health setting in Industry, Government or Academia
• Proactive and efficient in learning emerging adaptive designs and building simulation tools for wide use and applications
• Knowledge of Bayesian statistics
• Extensive knowledge of simulation and modeling techniques
• Work well with both statistical colleagues and cross functional teams
• Good communication skills (written and oral)

Skills

• Simulation and modeling
• Statistical analysis
• Data visualization
• Cross-functional collaboration