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As a Senior Data Engineer at Parexel, you will be part of a team dedicated to improving the world's health through clinical trials, regulatory services, consulting, and market access. Your work will contribute to the development of therapies that benefit patients, and you will play a critical role in accelerating insight generation across exploratory and safety-critical endpoints. Role Overview: - You will be responsible for creating standardized yet customizable data visualization templates and providing study teams with high-impact graphical tools to support early development decision-making. - Additionally, you will 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 focus will be on scalability, compliance, and scientific relevance. Key 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. - 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 assist in responding to basic stakeholder requests. - Address moderately complex statistical or data issues with judgment and seek guidance when necessary. - Adhere to functional standards by participating in peer review and mentoring relationships. Qualifications Required: - 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 and experienced with 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. Additional Opportunities: In addition to the above, you will have the opportunity to work with a global team and gain exposure to clinical or safety data structures, R package development, R Teal Developer experience, and Risk-Based Quality Management (RBQM) concepts. Your interest in visual storytelling, user experience in data interpretation, and willingness to learn visualization standards and workflows will be valuable assets in this role. As a Senior Data Engineer at Parexel, you will be part of a team dedicated to improving the world's health through clinical trials, regulatory services, consulting, and market access. Your work will contribute to the development of therapies that benefit patients, and you will play a critical role in accelerating insight generation across exploratory and safety-critical endpoints. Role Overview: - You will be responsible for creating standardized yet customizable data visualization templates and providing study teams with high-impact graphical tools to support early development decision-making. - Additionally, you will 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 focus will be on scalability, compliance, and scientific relevance. Key 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. - 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 assist in responding to basic stakeholder requests. - Address moderately complex statistical or data issues with judgment and seek guidance when necessary. - Adhere to functional standards by participating in peer review and mentoring relationships. Qualifications Required: - 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 and experienced with programming languages including R and tidyverse. - Basi
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