Senior Data Engineer - FSP

Job Responsibilities: • 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.

Here are a few requirements specific to this advertised role. • Bachelor’s degree in life sciences, computer science, data science, bioinformatics, or a related field. • 2 years+ experience in clinical data, visualization, or analytics • Spotfire and R Programming experience is a must • A basic understanding of clinical trial data and common data structures (e.g., CRF data). • Demonstrate a strong attention to detail, logical thinking, and an eagerness to learn visualization standards and clinical workflows. • Able to communicate effectively in English, both in writing and verbally.

The following would also be advantageous: • Exposure to clinical or safety data structures and terminology (e.g., adverse events, lab results, dosing). • Familiarity with Risk-Based Quality Management (RBQM) concepts and their role in early development. • Experience with interactive tools such as Tableau, Power BI, R/Shiny or Python. • Ability to follow visual design templates and apply style consistency.

#LI-REMOTE