Clinical Data Scientist

About the Role

The Clinical Data Scientist will support clinical development programs through data-driven insights, analysis, and high-impact visual communication. This role involves parsing and interpreting clinical trial data, generating figures and presentations, and supporting data review activities to inform study execution and development strategy. The individual will work closely with Biostatistics, Data Management, and Clinical Operations to ensure data quality, consistency, and usability.

Responsibilities

• Parse, review, and structure clinical trial data to support study interpretation, decision-making, and leadership updates.
• Develop high-quality graphs, tables, and figures using programming and analytics tools for analysis and presentation purposes.
• Act as a liaison between Biostatistics/Stat Programming, Data Management, and Clinical Operations. Experience working with EDC data, lab imaging data, and external vendor data.
• Collaborate with Biostatistics, Data Management, and Clinical Operations to support data cleaning, reconciliation, and study tracking.
• Perform ongoing data review to assess safety, efficacy, and operational metrics.
• Create clear, visually compelling slide decks and materials for senior leadership, study teams, investigators, and governance forums.
• Contribute to clinical study documentation, including protocols, statistical analysis plan (SAP) support materials, clinical study reports (CSRs), and interim analyses.
• Interpret emerging study data and communicate findings in a concise, structured, and clinically relevant manner.
• Maintain proficiency in programming, reporting, and visualization tools to support evolving data needs.
• Identify trends, anomalies, and data quality issues, and proactively escalate findings to relevant stakeholders.

Qualifications

• Advanced degree preferred in life sciences, quantitative sciences, or a related field.
• Minimum of 5 years of experience in clinical development, clinical data analysis, programming, DSMB or DMC support, or related analytics roles.
• Proficiency in programming languages such as SAS, R, Python, SQL, or similar tools.
• Demonstrated ability to generate high-quality visualizations, tables, and presentations from clinical datasets.
• Experience with data visualization tools (R-Shiny, Power BI, Tableau, or AI-based tools) is a plus.
• Working knowledge of clinical trial design, operations, GCP, and clinical data structures.
• Strong analytical thinking, attention to detail, and communication skills, with the ability to convey complex data clearly.
• Expertise in Neuroscience and Ophthalmology is a plus.

Working Conditions

This position operates in an office setting, in person. The role may additionally require availability outside of standard hours to handle priority business needs.