Ran Bi

Associate Director @ Novartis

Country

United States

City

East Hanover

Industry

Pharmaceuticals

Skill

R, SAS, Statistics, LaTeX, Statistical Modeling, Machine Learning, Data Mining, Data Analysis, Biostatistics, Time Series Analysis, Bayesian statistics, Probability, Monte Carlo Simulation, Matlab

Experience

Associate Director

Novartis

2024-5 - Present · 2 yrs 4 mos

Senior Principal Biostatistician

Novartis

2020-10 - 2024-4 · 3 yrs 7 mos

New Jersey, United States

Mathematical Statistician

FDA

2018-11 - 2020-10 · 2 yrs

Silver Spring, Maryland

Research Assistant

Iowa State University

2013-8 - 2018-7 · 5 yrs

• Differential expression analysis for crop / animal RNA-seq count data • Clustering analysis for maize expression data patterns over time • Fit GLM with Lasso penalty to investigate the relationship between diagnostic results and mortality of pigs • Fit penalized conditional logistic regression model to study the differences between the low PRRS incidence and high PRRS incidence farms

Teaching Assistant

Iowa State University

2012-8 - 2017-12 · 5 yrs 5 mos

• Course co-instructor for R programming • Lab instructor for STAT 101 - Principles of Statistics • Hold office hours, grade homework and exams

Summer Intern

Bristol Myers Squibb

2016-5 - 2016-8 · 4 mos

Greater New York City Area

• Biostatistician Intern in Global Biometric Science group • Developed a blinded sample size re-estimation method with multiple arms and multiple testing in clinical trials • Developed an unblinded sample size re-estimation method making use of all available longitudinal outcomes in clinical trials • Produced ready to use R function and SAS macros