Senior Data Engineer - FSP

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.

Bachelor's degree in life sciences, computer science, data science, bioinformatics, or a related field.

2 years+ experience in clinical data, visualization, or analytics.
Familiar with Spotfire visualization tools.

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.

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.