Senior Data Engineer - FSP

<p><b>When our values align, there&#39;s no limit to what we can achieve.</b><br /> <br />At Parexel, we all share the same goal - to improve the world&#39;s health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.</p><p>Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we&#39;re committed to making a difference.</p><p></p><p></p><p><b><span>Job Responsibilities:</span></b></p><ul><li><p><span>Create and maintain standardized data visualizations to support Medical Data Review and safety signal detection, following established templates and guidance.</span></p></li><li><p><span>Apply defined visualization standards to generate outputs aligned with Risk-Based Quality Management (RBQM) principles and Critical to Quality (CtQ) endpoints.</span></p></li><li><p><span>Work under guidance to implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones.</span></p></li><li><p><span>Support documentation and quality control of visualization deliverables to ensure traceability and compliance.</span></p></li><li><p><span>Participate in training sessions and incorporate feedback from more experienced Real-time Visual Analytics Specialists.</span></p></li><li><p><span>Assist in responding to basic stakeholder requests and clarifying data availability or visualization functionality.</span></p></li><li><p><span>Work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding.</span></p></li><li><p><span>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.</span></p></li><li><p><span>Adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and regulatory expertise.</span></p></li></ul><p></p><p><b><u>Here are a few requirements specific to this advertised role.</u></b></p><ul><li><p>Bachelor’s degree in life sciences, computer science, data science, bioinformatics, or a related field.</p></li><li><p>2 years&#43; experience in clinical data, visualization, or analytics.<br />Familiar with Spotfire visualization tools.</p></li><li><p>A basic understanding of clinical trial data and common data structures (e.g., CRF data).</p></li><li><p>Demonstrate a strong attention to detail, logical thinking, and an eagerness to learn visualization standards and clinical workflows.</p></li><li><p>Able to communicate effectively in English, both in writing and verbally.</p></li></ul><p></p><p><b><u>The following would also be advantageous:</u></b></p><ul><li><p>Exposure to clinical or safety data structures and terminology (e.g., adverse events, lab results, dosing).</p></li><li><p>Familiarity with Risk-Based Quality Management (RBQM) concepts and their role in early development.</p></li><li><p>Experience with interactive tools such as Tableau, Power BI, R/Shiny or Python.</p></li><li><p>Ability to follow visual design templates and apply style consistency.</p></li></ul><p></p>