Remote Biostatistician for Clinical Trials & Submissions

Hire Feed; Pistoia; Remoto; EUR 78.000 - 113.000; Tempo pieno

Descrizione del lavoro

Hire Feed is hiring a Biostatistician to work remotely on a full-time basis, analyzing clinical trial data and designing statistical methodologies for regulatory submissions.

The role requires SAS/R/Python proficiency, experience with clinical trials and FDA/EMA guidelines, and the ability to communicate complex results to non-statistical stakeholders. This is a remote, global opportunity with cross-functional collaboration.

Competenze

• Proficiency in SAS, R or Python for data analysis and visualization.
• Experience designing statistical methodologies for clinical trials and regulatory submissions.
• Strong biostatistical foundations including survival analysis, regression, and longitudinal data.
• 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

SAS

R

Python

Regulatory submissions

Survival analysis

Descrizione del lavoro

Hire Feed is hiring a Biostatistician to work remotely on a full-time basis, analyzing clinical trial data and designing statistical methodologies for regulatory submissions.

The role requires SAS/R/Python proficiency, experience with clinical trials and FDA/EMA guidelines, and the ability to communicate complex results to non-statistical stakeholders. This is a remote, global opportunity with cross-functional collaboration.