About the Role

The ideal candidate will have strong statistical knowledge, experience working with research datasets, and the ability to present findings clearly and accurately across scientific, clinical, and technical teams.

Key Responsibilities

• Analyze clinical, biomedical, genetic, epidemiological, and health-related datasets.
• Clean, validate, and prepare data for analysis.
• Develop statistical models and interpret results.
• Prepare tables, graphs, summaries, and technical reports.
• Support research documentation, abstracts, presentations, and manuscripts.
• Work with scientific, clinical, and technical teams to understand analysis needs.
• Ensure accuracy, consistency, and proper documentation of analysis outputs.

Requirements

• Bachelor's degree in Statistics, Biostatistics, Mathematics, Data Science, Public Health, Epidemiology, Bioinformatics, or a related field.
• Minimum 2–3 years of relevant experience.
• Experience using R, Python, SPSS, SAS, STATA, or similar tools.
• Strong understanding of statistical concepts and research methods.
• Good data cleaning, validation, and visualization skills.
• Ability to explain statistical results clearly.
• High attention to detail and accuracy.

Preferred

• Experience with clinical, genetic, epidemiological, or biomedical datasets.
• Knowledge of regression models, survival analysis, meta-analysis, GWAS/PheWAS, or longitudinal data analysis.
• Familiarity with research publications and scientific writing.