Analytical Support for Clinical Trial

The role supports data-driven planning and decision-making for global clinical development programs in the pharmaceutical industry, focusing on leveraging clinical trial data for planning and recruitment forecasting.

• Strong experience in global clinical trial analytics.
• Expertise in recruitment forecasting and predictive modelling.
• Experience with country allocation, feasibility assessments, and patient/site planning.
• Advanced statistical analysis and modelling capabilities.
• Proficiency in SQL and Databricks.
• Strong Python programming skills for data analysis and modelling.
• Experience using Power BI and Excel for reporting and visualization.
• Proven experience supporting major pharmaceutical sponsors and clinical development organizations.
• Strong understanding of clinical trial operations, recruitment planning, and feasibility processes.
• Experience working within regulated environments and adhering to data governance requirements.

Nice to have:

• Experience within obesity, diabetes, or related therapeutic areas.
• Familiarity with large-scale global clinical development programs.
• Experience presenting analytical findings to senior stakeholders and decision-makers.

• Conduct exploratory analysis of historical clinical trial performance data.
• Develop recruitment forecasts and predictive models to support study planning.
• Perform scenario simulations and sensitivity analyses to evaluate planning assumptions and potential outcomes.
• Provide analytical support for country selection, feasibility assessments, and patient allocation recommendations.
• Conduct statistical analyses to inform operational and strategic planning decisions.
• Develop and execute analyses within Databricks Notebooks and Workbench environments.
• Prepare and present analytical outputs using Power BI dashboards and PowerPoint templates.
• Translate complex analytical findings into clear recommendations for business stakeholders.