Remote Biostatistician — Design & Analyze Clinical Trials

Hire Feed; Ravenna; Remoto; EUR 78.000 - 130.000; Tempo pieno

Descrizione del lavoro

Hire Feed is seeking a Biostatistician to join a remote, full-time role focused on clinical trial data analysis and regulatory compliance. You will design statistical methods, perform analyses with SAS, R or Python, and prepare reports for health authorities.

Collaborate with clinicians, data managers and regulatory affairs to ensure study objectives are met and to support submissions across therapeutic areas.

Competenze

• Proficiency in SAS, R, or Python for data analysis and visualization.
• Experience in designing statistical methodologies for clinical trials and regulatory submissions.
• Strong understanding of biostatistical principles, including survival analysis, regression modeling, and longitudinal data analysis.
• Ability to interpret and communicate complex statistical findings to non-statistical stakeholders.
• Knowledge of FDA, EMA, or other regulatory guidelines for clinical trial data analysis.

Mansioni

• Design and implement statistical plans for clinical trials, including sample size calculations and power analyses.
• Perform statistical analysis of clinical trial data using SAS, R, or Python to support regulatory submissions.
• Develop statistical models to evaluate safety and efficacy endpoints in clinical trials.
• Collaborate with cross-functional teams including clinicians, data managers, and regulatory affairs to ensure alignment with study objectives.
• Prepare statistical sections of clinical study reports, including tables, figures, and listings.

Conoscenze

Survival analysis

Regression modeling

Longitudinal data analysis

Data interpretation

Strumenti

SAS

R

Python

Descrizione del lavoro

Hire Feed is seeking a Biostatistician to join a remote, full-time role focused on clinical trial data analysis and regulatory compliance. You will design statistical methods, perform analyses with SAS, R or Python, and prepare reports for health authorities.

Collaborate with clinicians, data managers and regulatory affairs to ensure study objectives are met and to support submissions across therapeutic areas.