Clinical Data Analyst

Role Overview: As a Clinical Data Analyst, your main responsibility will be to analyze and interpret clinical trial data to generate insights and support decision-making. This role will not involve clinical data management, systems administration, SDTM/CDISC programming, ETL pipelines, or dashboard-only reporting. Instead, you will focus on validating analytical outputs, identifying gaps or inconsistencies in existing clinical trial datasets, and making recommendations based on the data analysis. Key Responsibilities: - Analyze clinical trial datasets across the trial lifecycle to support insight generation and decision-making. - Validate data outputs and analytical logic, identifying gaps, inconsistencies, or data quality limitations. - Interpret trial outcomes, such as efficacy, safety, endpoints, survival metrics, or response data. - Compare different analytical approaches and provide clear explanations of pros, cons, and recommendations. - Work with clinical data sources, including CTMS data, as a data consumer to assess completeness and usability. - Independently explore datasets during early analysis phases and surface meaningful insights. - Communicate findings clearly through Excel, written summaries, and PowerPoint for cross-functional stakeholders. - Collaborate with product, analytics, or data engineering teams by providing analytical judgment and feedback. Qualifications Required: - 3-6 years of experience working analytically with clinical trial data in pharma, biotech, CRO, or clinical research environments. Role Overview: As a Clinical Data Analyst, your main responsibility will be to analyze and interpret clinical trial data to generate insights and support decision-making. This role will not involve clinical data management, systems administration, SDTM/CDISC programming, ETL pipelines, or dashboard-only reporting. Instead, you will focus on validating analytical outputs, identifying gaps or inconsistencies in existing clinical trial datasets, and making recommendations based on the data analysis. Key Responsibilities: - Analyze clinical trial datasets across the trial lifecycle to support insight generation and decision-making. - Validate data outputs and analytical logic, identifying gaps, inconsistencies, or data quality limitations. - Interpret trial outcomes, such as efficacy, safety, endpoints, survival metrics, or response data. - Compare different analytical approaches and provide clear explanations of pros, cons, and recommendations. - Work with clinical data sources, including CTMS data, as a data consumer to assess completeness and usability. - Independently explore datasets during early analysis phases and surface meaningful insights. - Communicate findings clearly through Excel, written summaries, and PowerPoint for cross-functional stakeholders. - Collaborate with product, analytics, or data engineering teams by providing analytical judgment and feedback. Qualifications Required: - 3-6 years of experience working analytically with clinical trial data in pharma, biotech, CRO, or clinical research environments.