Hao Wang

Hao Wang

Scientist at Bristol Myers Squibb, Ph.D. in Statistics

Role
Scientist - Drug Product Development Statistician at Bristol Myers Squibb
Location
New York, NY, US
LinkedIn followers
500 followers

About Hao Wang

Results-driven CMC statistician with deep expertise across oral and sterile drug product…

Experience

  1. Scientist - Drug Product Development Statistician

    Bristol Myers Squibb

    Mar 2024 — Present · Summit, NJ, US

    Collaborated with all Drug Product Development teams across multiple disciplines including, analytical, formulation, process, modeling, and device group to support the development and optimization of drug products- Designed DoE (Design of Experiments) for formulation and process optimization of both oral solid and sterile products; Designed formulation/process robustness studies to ensure product consistency and reliability- Developed DoE for analytical method development, including dissolution and assay methods, to ensure method robustness, accuracy and precision- Pioneered advanced Measurement System Analysis (MSA) methodologies on study design and sensible acceptance criteria, providing statistical guidance and best practices to collaborators and engineers- Authored/reviewed 5+ GMP protocols for analytical and dimensional test methods, advising on study plans and acceptance criteria to ensure the performance and compliance of various methods- Statistician on the Process Analytical Technology (PAT) team, contributed to the development of in-line NIR blend methods and chemometric models, and the establishment of diversion acceptance limits- Specialized in comprehensive areas such as DoE, measurement system analysis, drug product development risk assessment, and advanced data science techniques.

Education

  • Iowa State University

    Master of Science - MS

    2018 — 2019

  • East China Normal University

    Bachelor of Science - BS

    2014 — 2018

  • Colorado State University

    Bachelor's degree

    2016 — 2018

  • Iowa State University

    Doctor of Philosophy - PhD

    2018 — 2024

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