Create and maintain standardized data visualizations to support Medical Data Review and safety signal detection, following established templates and guidance
Apply defined visualization standards to generate outputs aligned with Risk-Based Quality Management (RBQM) principles and Critical to Quality (CtQ) endpoints
Work under guidance to implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones
Support documentation and quality control of visualization deliverables to ensure traceability and compliance
Participate in training sessions and incorporate feedback from more experienced Real-time Visual Analytics Specialists
Assist in responding to basic stakeholder requests and clarifying data availability or visualization functionality
Work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding
Apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility, and seek guidance when facing novel or ambiguous situations
Adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and regulatory expertise

Hold a Bachelor’s degree in life sciences, computer science, data science, bioinformatics, or a related field
Have 1-3 years of experience in clinical data, visualization, or analytics; or an advanced degree with 1-3 years of equivalent work experience
Proficient in tools including R Shiny & Git
Experienced with programming languages including R and tidyverse
Have a basic understanding of clinical trial data and common data structures (e.g., CRF data)
Demonstrate strong attention to detail, logical thinking, and an eagerness to learn visualization standards and clinical workflows
Show respect for cultural differences when interacting with colleagues in the global workplace
Communicate effectively in English, both in writing and verbally.

Senior Data Engineer

Key skills