
Biostatistician with hands-on experience in clinical trials and medical device research, specializing in advanced statistical analysis and regulatory-compliant reporting. Actively involved in clinical study design support, SAP development, SDTM dataset creation, and CSR statistical sections across Cardiovascular and Orthopedic therapeutic areas. Proficient in R and SAS, with a strong working knowledge of FDA regulations, ICH-GCP guidelines, and CDISC standards. Driven to grow as a biostatistician by taking on increasing analytical ownership and delivering high-impact, decision-ready insights.
Statistical Tools & Programming: SAS: Data manipulation, data transformation, PROC SQL, Macros, generating Tables, Listings, and Figures (TLFs) R: Data wrangling, statistical analysis, r2rtf for RTF reports, hypothesis testing, and visualization using ggplot2 SPSS: Basic statistical tests and regression modeling Excel: Advanced data analysis, Pivot Tables, and data summaries
Bio-Statistical Skills: Hypothesis Testing: t-Test, Paired t-Test, ANOVA, ANCOVA, Chi-Square Test, Kruskal-Wallis Test, Wilcoxon Rank Sum Test Clinical Trials Knowledge: Phases of clinical trials, Study Objectives, Standard Operating Procedures (SOPs), Statistical Analysis Plan (SAP), and Mockshell creation Regression Analysis: Linear, Logistic, and Multivariate analysis
Statistical software
Data management
Study design
R programming
Statistical modeling
Bayesian methods
SAS programming
Clinical trials
Longitudinal data
Time series analysis
Teamwork
Problem-solving
Excellent communication
Critical thinking
Data visualization
Analytical skills
Data analysis
Statistical analysis
Hypothesis testing
Statistical reporting