Biostatistician

BioMarket Solution; Delhi; On-site; INR 900,000 - 1,500,000; Full time

Job summary

BioMarket Solution in Delhi is seeking a Biostatistician to support statistical analysis, study design, data interpretation, and reporting across clinical, real-world evidence, HEOR, and healthcare analytics projects.

The role requires strong quantitative skills and experience with statistical programming; candidates should have a Master’s degree or higher in a related field and proficiency in R/SAS/Python/STATA.

Qualifications

• Master's degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Data Science, or related field.
• Strong knowledge of statistical methods used in clinical and observational research.
• Experience with R, SAS, Python, STATA, or similar statistical software.
• Ability to interpret healthcare and clinical data.

Responsibilities

• Support statistical analysis for clinical studies, observational studies, surveys, and real-world data projects.
• Develop statistical analysis plans, table shells, analysis outputs, and interpretation summaries.
• Conduct descriptive, inferential, regression, survival, and longitudinal analyses as required.
• Support sample size estimation, study design inputs, and endpoint analysis.
• Create tables, figures, graphs, and statistical summaries for reports, manuscripts, abstracts, and presentations.
• Work with HEOR, RWE, and medical writing teams to communicate results clearly.
• Ensure accuracy, reproducibility, and documentation of statistical work.

Skills

R programming

SAS

Python

STATA

Data interpretation

Statistical methods

Study design

Education

Master's degree or higher in Biostatistics/Statistics/Epidemiology/Public Health/Data Science

Tools

R

SAS

Python

STATA

Job description

Remote / Delhi Full-time Healthcare Consulting

BioMarket Solution is seeking a Biostatistician to support statistical analysis, study design, data interpretation, and reporting across clinical, real-world evidence, HEOR, and healthcare analytics projects. The ideal candidate should have strong quantitative skills and experience with statistical programming.

Key Responsibilities

• Support statistical analysis for clinical studies, observational studies, surveys, and real-world data projects.
• Develop statistical analysis plans, table shells, analysis outputs, and interpretation summaries.
• Conduct descriptive, inferential, regression, survival, and longitudinal analyses as required.
• Support sample size estimation, study design inputs, and endpoint analysis.
• Create tables, figures, graphs, and statistical summaries for reports, manuscripts, abstracts, and presentations.
• Work with HEOR, RWE, and medical writing teams to communicate results clearly.
• Ensure accuracy, reproducibility, and documentation of statistical work.

Requirements

• Master's degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Data Science, or a related field.
• Strong knowledge of statistical methods used in clinical and observational research.
• Experience with R, SAS, Python, STATA, or similar statistical software.
• Ability to interpret healthcare and clinical data.
• Experience with real-world data, survey data, or clinical trial data is preferred.
• Strong attention to detail, documentation skills, and ability to meet project timelines.

How to Apply

Interested candidates should send their Resume/CV to [e-mail] . Please include the title of the role you are applying for in the email subject line.