
Gokul B
Statistical Programmer
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About
M.Sc. Biostatistics candidate with hands-on SAS and R experience in data cleaning, validation, quality checks, and statistical analysis of large-scale clinical and epidemiological datasets. Skilled in developing statistical tables, listings, and reports, and applying regression and survival analysis methods. Detail-oriented, collaborative, and seeking a Trainee Statistical Programming role to build clinical SAS programming expertise.
Experience
Statistics / Epidemiology Intern at ICMR – National Centre for Disease Informatics and Research (NCDIR) (2025-12 – 2026-02)
- Managed and analyzed large-scale Population-Based Cancer Registry datasets spanning 1985–2019
- Performed data cleaning, quality checks, and analytical variable derivation to ensure data accuracy and consistency
- Applied age-specific and age-adjustment methods for longitudinal trend analysis
- Developed statistical tables, summaries, listings, and visualizations for research reporting
- Documented analytical methods and collaborated with the research team on data quality review
Education
Master of Science in Biostatistics – Bharathiar University (2024 – 2026)
Bachelor of Science in Statistics – Government Art and Science college (2021 – 2024)