[Hiring] R / R Shiny Programmer (Real-time Visual Analytics Specialist / Senior Data Scientist) @Parexel

Role Description

The Real-time Visual Analytics Specialist in Early Development Biometrics is responsible for designing, delivering, and maintaining interactive, study-level data visualizations that support Medical Data Review (MDR) and safety signal detection. Operating at the intersection of data science, clinical research, and digital enablement, this role ensures that visual analytics are aligned with Risk-Based Quality Management (RBQM) principles, defined Critical to Quality (CtQ) factors, and Medical Data Review Plans (MDRPs).

• Create standardized yet customizable data visualization templates.
• Provide study teams with high-impact graphical tools to support early development decision-making.
• Serve as a partner and point of support for clinical scientists, offering training and ongoing consultation.
• Create and maintain standardized data visualizations to support Medical Data Review and safety signal detection.
• Apply defined visualization standards to generate outputs aligned with RBQM principles and 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.
• Apply judgment to address moderately complex statistical or data issues, balancing scientific rigor with appropriate flexibility.
• Adhere to functional standards by participating in peer review and mentoring relationships to uphold quality and build methodological and regulatory expertise.

Qualifications

• Bachelor’s degree in life sciences, computer science, data science, bioinformatics, or a related field.
• 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.
• 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.
• Respect for cultural differences when interacting with colleagues in the global workplace.
• Effective communication in English, both in writing and verbally.

Requirements

• Exposure to clinical or safety data structures and terminology (e.g., adverse events, lab results, dosing).
• Experience with R package development.
• Experience with R Teal.
• Developer experience with R shiny.
• Familiarity with Risk-Based Quality Management (RBQM) concepts and their role in early development.
• Interest in visual storytelling and user experience in data interpretation.
• Ability to follow visual design templates and apply style consistency.
• Curiosity and willingness to learn visualization standards and workflows in a regulated environment.