Data Engineer
@ Takeda Development Center Americas, Inc.

Pursuant to Section 20 C.F.R. 656.10, you are hereby notified that an application for Alien Employment Certification will be filed by Takeda Development Center Americas, Inc. for the following job opportunity:

JOB LOCATION: Cambridge, MA

POSITION: Data Engineer

POSITION DESCRIPTION: Takeda Development Center America, Inc. is seeking a Data Engineer with the following duties: Identify various methods for analyzing data by utilizing diverse technologies, preparing and managing big data, programming, and data loading, as well as conducting initial exploration in the process of searching and identifying patterns; maintain end-to-end data pipelines, internalize numerous systems and processes, broad enablement of automation and real-time data accessibility, efficient data review and query, facilitation of disruptive technologies for next-generation trial designs and insight derivation; review data science inputs and requirements, converting them from initial data exploration into practical applications for extensive datasets with billions of records or unstructured data. This process may involve programming, mathematical algorithms and potentially newer tools like Machine learning or Deep learning to construct models and extract meaningful insights from the data; introduce novel and state-of-the-art computational techniques to other teams and scientists to improve capabilities for data analysis with the purpose of deriving high accuracy insight from available datasets more efficiently; utilize advanced methods on structured, partly structured, and unstructured data across various organizations; gather and prepare data for utilization or training purposes, enhance the implementation of algorithms to evaluate, expand and deploy future models; independently design, develop and deploy data models related to R&D questions; create technical strategies and roadmaps for data analysis, uncovering patterns, formulating data models, and scaling these models for controlled production environments or to design and implement a future state environment for data processing; recognize prospects and foresee shifts in the technological landscape by comprehending and continuously evaluating the external factors that influence the business.