Parexel Senior Data Engineer Recruitment 2026: Apply Online for Various Vacancies
Senior Data Engineer
Job Overview
The Senior Data Engineer (Real-time Visual Analytics Specialist) at Parexel plays a pivotal role in accelerating insight generation across exploratory and safety-critical endpoints in clinical trials. In this role, you will create standardized yet customizable data visualization templates and provide study teams with high-impact graphical tools to support early development decision-making. You will serve as a key partner and point of support for clinical scientists, offering training and ongoing consultation to ensure the effective use of visual analytics in study workflows. With an eye toward scalability, compliance, and scientific relevance, you will help shape the future of clinical data interpretation.
This position is ideal for professionals with a strong background in R Shiny, Git, and clinical data structures who want to make a meaningful impact on global health. Working in a regulated environment, you will adhere to functional standards by participating in peer reviews and mentoring relationships to uphold quality and build methodological and regulatory expertise. Parexel offers a highly collaborative, inclusive, and flexible work environment where your professional growth is prioritized.
- Standardized Visualizations: Create and maintain standardized data visualizations to support Medical Data Review and safety signal detection.
- Quality Standards: Apply defined visualization standards to generate outputs aligned with Risk-Based Quality Management (RBQM) principles and Critical to Quality (CtQ) endpoints.
- Timeline Management: Work under guidance to implement visual analytics within timelines tied to First Patient In (FPI) or predefined safety milestones.
- Compliance & Documentation: Support documentation and quality control of visualization deliverables to ensure traceability and compliance.
- Stakeholder Support: Assist in responding to basic stakeholder requests and clarifying data availability or visualization functionality.
- Continuous Learning: Participate in training sessions and incorporate feedback from more experienced specialists to continuously improve your skills.
Key Job Details
| Company Name | Parexel |
| Job Role | Senior Data Engineer |
| Experience | 1-3 years |
| Salary Range | Competitive Industry Standard |
| Job Type | Private |
| Work Mode | Remote |
| Openings | Various |
| Job Location | Taiwan (Remote) |
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.
- 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.
Requirements & Qualifications
- 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.
- Experienced with programming languages including R and tidyverse.
- Have a basic understanding of clinical trial data and common data structures (e.g., CRF data).
- Demonstrate strong attention to detail, logical thinking, and an eagerness to learn visualization standards and clinical workflows.
- Show respect for cultural differences when interacting with colleagues in the global workplace.
- Communicate effectively in English, both in writing and verbally.
Required Skills
- Proficiency in R Shiny & Git
- Experience with R and tidyverse
- Basic understanding of clinical trial data structures (CRF data)
- Strong logical thinking and attention to detail
- Excellent English communication skills
- R package development (Preferred)
- R Teal (Preferred)
- Developer experience with R shiny (Preferred)
- Familiarity with Risk-Based Quality Management (RBQM) concepts (Preferred)
About Parexel
Parexel is a leading global clinical research organization (CRO) contracted by pharmaceutical, biological, and medical device manufacturers to manage clinical research studies and support product development. With a compassionate and results-driven work culture, Parexel prioritizes patient care, employee growth, and technological innovation to bring life-saving treatments to market faster.
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