Data Engineer

• Design, develop, and deploy data pipeline for clinical domain dataset
• As an infrastructure programmer, continuously develop and support Data Scientist R-Platform and integration with various technology (Kubernetes Container, HashiCorp Vault, SAS Storage, and Data Science Work Bench)
• Design and build various reusable program components using innovative technology (NLP, AI, Python, R, etc) to transform and harmonize clinical dataset for insight generation
• Collaborate with Data Architects, Business SME’s, and Data Scientists to capture the business requirement and translate into Agile product backlog
• Serve as primary data engineer to manage and support AWS, Databricks, RStudio platform, and cloud AI based system production DevOps
• Align to best practices for coding, testing, and designing reusable code/component
• Explore new tools and technologies that will help streamline data pipeline and add new durable capability for clinical development
• Participate in sprint planning meetings and provide estimations on technical implementation
• Collaborate and communicate effectively with the product teams

• Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline]
• Advanced skills in SQL, Python, and R languages programing
• AWS cloud technology and databricks data lake technology stacks
• Proficient skills and knowledge on common AI/Machine Learning technologies.
• Data modeling skills, and software development lifecycle knowledge and standard processes
• Learning ability of new technology in the information field
• Skill of using DevOps CI/CD tools, such Git, Jenkins and front UI Visualization technology

• Work experience in the biotechnology or pharmaceutical industry.
• Experience using and adopting Scaled Agile Framework (SAFe)
• Ability to work effectively in a fast-paced, dynamic environment.
• Experience with data modeling for both relationship databases, hands-on experience with SQL (PostgreSQL and Hive SQL is preferred)
• Experience with UI Visualization technology (Dash, RSConnect, Tableau preferred)
• Knowledge and experience in clinical trial design and development process and technology landscape, familiar with clinical trial data standards and structures
• SAFe for Teams certification (preferred)
• Strong communications skills in writing, speaking, presenting and time management skills
• Strong transformation and change management experience.
• Exceptional collaboration and communication skills.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented with a focus on achieving team goals.
• Strong presentation and public speaking skills.

competitive and comprehensive Total Rewards Plans that are aligned with local industry standards