Senior Clinical Data Engineer

As a Senior Data Engineer, your role involves creating standardized yet customizable data visualization templates to provide high-impact graphical tools for study teams, supporting early development decision-making. You will also serve as a partner and point of support for clinical scientists, offering training and ongoing consultation to ensure effective use of visual analytics in study workflows. Your contribution as a Real-time Visual Analytics Specialist is crucial in accelerating insight generation across exploratory and safety-critical endpoints, with a focus on scalability, compliance, and scientific relevance. Key Responsibilities: - Create and maintain standardized data visualizations supporting 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. - Implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones under guidance. - Support documentation and quality control of visualization deliverables to ensure traceability and compliance. - Participate in training sessions, incorporating feedback from experienced Real-time Visual Analytics Specialists. - Assist in responding to stakeholder requests, clarifying data availability, or visualization functionality. - Apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in complex situations. - Address moderately complex statistical or data issues, balancing scientific rigor with flexibility, seeking guidance in novel or ambiguous situations. - Uphold quality standards through peer review, mentoring relationships, and building methodological and regulatory expertise. Qualifications Required: - Bachelors degree in life sciences, computer science, data science, bioinformatics, or related field. - 1-3 years of experience in clinical data, visualization, or analytics; or an advanced degree with equivalent work experience. - Proficiency in tools such as R Shiny & Git, programming languages including R and tidyverse. - Basic understanding of clinical trial data and common data structures (e.g., CRF data). - Strong attention to detail, logical thinking, and eagerness to learn visualization standards and clinical workflows. - Effective communication in English, both in writing and verbally. Preferred Skills: - Exposure to clinical or safety data structures and terminology. - Experience with R package development, R Teal, R shiny development, Claud code. - Familiarity with Risk-Based Quality Management (RBQM) concepts and early development. - Interest in visual storytelling, user experience in data interpretation, and applying visual design templates consistently. - Curiosity and willingness to learn visualization standards and workflows in a regulated workplace. As a Senior Data Engineer, your role involves creating standardized yet customizable data visualization templates to provide high-impact graphical tools for study teams, supporting early development decision-making. You will also serve as a partner and point of support for clinical scientists, offering training and ongoing consultation to ensure effective use of visual analytics in study workflows. Your contribution as a Real-time Visual Analytics Specialist is crucial in accelerating insight generation across exploratory and safety-critical endpoints, with a focus on scalability, compliance, and scientific relevance. Key Responsibilities: - Create and maintain standardized data visualizations supporting 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. - Implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones under guidance. - Support documentation and quality control of visualization deliverables to ensure traceability and compliance. - Participate in training sessions, incorporating feedback from experienced Real-time Visual Analytics Specialists. - Assist in responding to stakeholder requests, clarifying data availability, or visualization functionality. - Apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in complex situations. - Address moderately complex statistical or data issues, balancing scientific rigor with flexibility, seeking guidance in novel or ambiguous situations. - Uphold quality standards through peer review, mentoring relationships, and building methodological and regulatory expertise. Qualifications Required: - Bachelors degree in life sciences, computer science, data science, bioinformatics, or related field. - 1-3 years of experience in clinical data, visualization, or analytics; or an a