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Job Description

Are you looking for a patient-focused, innovation-driven company that will inspire you and empower you to shine? Join us as a Senior Clinical Data Engineer in our Cambridge, MA office.

At Takeda, we are transforming the pharmaceutical industry through our R&D-driven market leadership and being a values-led company. To do this, we empower our people to realize their potential through life-changing work. Certified as a Global Top Employer, we offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our global teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.

Here, you will be a vital contributor to our inspiring, bold mission.

POSITION OBJECTIVES:

The Clinical Data Sciences group is responsible for integrating structured and unstructured data across the various data sources, setup, data transfer/review and support downstream transformation and analysis.  

The Clinical Data Sciences comprises of the Clinical Data Engineering and Clinical Data Standards. While the Clinical Data Standards provides the standards for clinical operation and data flow, the Clinical Data Engineering team drives the data architecture for clinical data. CDS also provides support to exploratory and specialty data for the purposes of data modelling, simulation, and analysis.  

Key to Takeda’s success is the Clinical Data Engineering team, provides strategic planning, integrating, execution, build and oversight of clinical trial deliverables. CDCS leads the integration of collected data from all sources by setting up proper configuration of data extraction and mapping of raw data into the Common Data Model for individual studies using processes and by the Data Engineer.  Work with Data Engineer to configure (Extract Transform Load) ETLs and (Extract Load and Transform) ELTs. Provide testing and documentation for data pipelines. Utilize and contribute to libraries for functions and transformation templates for reuse for study level configuration tasks. 

The Data Configuration Engineer  (DCE), configures and maintains the data pipelines that conform to the common data model that ensures data ingestion for all study-level data capture technologies and other related vendor and/or applications (e.g., EDC, IRT, ePRO, eCOA). Liaise cross functionally, and provides oversight that facilitates test data transfer, and confirms accurate DTA specification. Performs tasks to, configure, maintain, and monitor data flow integration between collected data and the clinical data repository (CDR). DCE contributes to the successful conduct of Takeda’s clinical trials and to the delivery of high quality in a timely manner, which is eventually used for statistical analysis and submitted to regulatory authorities for the approval of Takeda products. Further, CDCS efforts enable valid secondary use of clinical trial data throughout Takeda research groups to maximize value and achieve company objectives.  

POSITION ACCOUNTABILITIES:

• Experience building data pipelines for various heterogenous data sources.
• Identifying, designing, and implementing scalable data delivery pipelines and automating manual processes
• Building required infrastructure for optimal data extraction, transformation and loading of data using cloud technologies like AWS, Azure etc.,
• Devel