Senior Clinical Data Engineer

Takeda Pharmaceutical Company • Dover, DE

389d

About The Position

The Senior Clinical Data Engineer at Takeda Pharmaceuticals plays a crucial role in the Clinical Data Sciences group, focusing on integrating structured and unstructured data across various sources. This position involves strategic planning, execution, and oversight of clinical trial deliverables, ensuring high-quality data management and compliance with regulatory standards. The role requires collaboration with cross-functional teams to optimize data pipelines and support the successful conduct of clinical trials.

Requirements

• Bachelor's degree in computer science, data science, biostatistics, mathematics, or equivalent experience.
• 8+ years of experience in data engineering, with a minimum of 5 years in building data pipelines for heterogeneous data ingestions.
• Experience with Python/R, SQL, and data integration across multiple sources.

Nice To Haves

• Experience with cloud technologies like AWS and Azure.
• Familiarity with clinical data management and regulatory compliance.

Responsibilities

• Build data pipelines for various heterogeneous data sources.
• Identify, design, and implement scalable data delivery pipelines and automate manual processes.
• Build infrastructure for optimal data extraction, transformation, and loading using cloud technologies like AWS and Azure.
• Develop end-to-end processes for clinical data configuration specialists to prepare data extraction and transformations efficiently.
• Coordinate with downstream users to ensure outputs meet requirements.
• Create ELT and ETL processes to ingest data into data warehouses and data lakes.
• Manage and maintain data pipelines and troubleshoot issues in data lakes or warehouses.
• Provide visualization and analysis of data stored in data lakes.
• Define and track KPIs for continuous improvement.
• Develop and maintain tools, libraries, and reusable templates for data pipelines.
• Collaborate with vendors and cross-functional teams on data transfer specifications.
• Provide ad-hoc analysis and visualization as needed.
• Ensure accurate delivery of data formats and frequencies with quality deliverables.
• Participate in the development and training on transfer specs and best practices.
• Collaborate with system architecture teams to design data pipelines as per business needs.
• Network with stakeholders to enhance data integration processes.
• Provide expertise for structured and unstructured data ingestion.
• Develop organizational knowledge of key data sources and systems.
• Provide technical leadership on clinical data flow aspects, including APIs and data streams.
• Create data integrity and quality checks for data ingestion.
• Coordinate with database builders and data management programmers for data integration accuracy.
• Provide technical support and end-user support, working with IT to resolve system issues.
• Develop and deliver training programs on data transfer specifications.
• Prepare and process large datasets for downstream consumption.
• Understand end-to-end requirements for stakeholders and contribute to clinical data ingestion processes.
• Adhere to SOPs for computer system validation and GCP regulations.
• Assist with quality reviews of vendor activities as needed.
• Assess and enable clinical data visualization software in data flows.
• Perform clinical data engineering tasks according to applicable SOPs.

Benefits

• Health insurance
• 401k plan
• Paid holidays
• Professional development opportunities
• Flexible scheduling

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Chemical Manufacturing
• Education Level: Bachelor's degree