Biostatistician

Biostatistician

Job Summary

We are seeking a detail-orientedBiostatistician to support clinical, healthcare, and research projects through statistical analysis, study design, and data interpretation. The ideal candidate will have strong knowledge of biostatistical methods and experience working with clinical or public health data.

Responsibilities

• Design and analyze clinical, epidemiological, and healthcare research studies.

• Develop statistical analysis plans and select appropriate statistical methods.

• Analyze large datasets and interpret study results.

• Perform descriptive statistics, regression analysis, survival analysis, and hypothesis testing.

• Support clinical trials, observational studies, and public health research.

• Work closely with researchers, physicians, data managers, and clinical teams.

• Prepare statistical reports, tables, graphs, and summaries.

• Validate datasets and ensure data quality and accuracy.

• Assist with sample size calculations and power analysis.

• Provide statistical input for research protocols and study designs.

• Support regulatory submissions and scientific publications when required.

• Ensure statistical analyses follow applicable research and regulatory standards.

Qualifications

• Master's degree or PhD inBiostatistics, Statistics, Epidemiology, or a related quantitative field.

• Strong knowledge of statistical modeling and research methodology.

• Experience with statistical software such asSAS, R, Python, SPSS, or Stata.

• Understanding of clinical research, epidemiology, or healthcare data.

• Strong analytical and problem-solving skills.

• Excellent written and verbal communication skills.

Preferred Experience

• 2+ years of experience in biostatistics, clinical research, healthcare analytics, or pharmaceutical research.

• Experience supporting clinical trials or observational studies.

• Familiarity withCDISC, SDTM, ADaM, and regulatory submission standards is a plus.

• Experience with survival analysis, longitudinal data analysis, and mixed-effects models.

• Knowledge of FDA, ICH, or GCP guidelines preferred.

Skills

• Biostatistics

• Statistical Analysis

• Clinical Research

• SAS

• R

• Python

• Regression Analysis

• Survival Analysis

• Hypothesis Testing

• Study Design

• Sample Size Calculation

• Data Validation

• Epidemiology

• Clinical Trial Analysis

• Statistical Reporting