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Takeda Pharmaceutical Company Limited
Takeda has been translating science into breakthrough medicines for 240 years. Every step of the way, our teams have worked together to tackle some of the most challenging problems in drug discovery and development. Today, we’re a driving force behind innovative therapies that make a lasting difference to millions of patients around the world.
In R&D, all of our history and potential comes together in an environment that welcomes diversity of thought and amplifies every voice. Working closely with colleagues, you’ll play a key role in bringing our rich pipeline of products forward to help patients. Come join a team that’s earned trust for more than two centuries, and find out how advancing transformative therapies at Takeda will shape your bright future.
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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.
REQUIREMENTS: Master’s degree in Computer Science, Information Systems or related field plus 3 years of related experience. Prior experience must include: Identify various methods for analyzing data, utilize diverse technologies, prepare, and manage big data, programming and data loading as well as initial exploration in the process of searching and finding 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 insights 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; 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; 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.
Full time. $150,000 - $215,600.00 per year. Competitive compensation and benefits.
Qualified applicants can apply at https://jobs.takeda.com. Please reference job #R0145002. EOE
Any individual may provide documentary evidence bearing on this application, with information on available workers and information on wages and working conditions, to the Certifying Officer, U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue, NW, Room N-5311, Washington, DC 20210.
During my 20-year journey here, I’ve been fully supported by my colleagues, and I can’t say enough about our rich internal talent and the long-standing values that drive our decisions as we work to develop important medicines for the patients we serve.
Doug Coffman - Head, R&D Asset Transition & Integration Office, R&D Regional & Business Operations
When making any type of decision, the first thing we ask is 'how will this impact patients?’ Ultimately, we’re laser focused on the best interests of the patient, and I truly believe we follow through on that.
Meredith Culp - VP, Head of Neuroscience Therapeutic Area Strategy & Operations and Head of Global Development Integration Office
Our culture and shared values make us like a family here at Takeda. It doesn't feel like work when you're doing something you love with people you love, and when your outcome is really fantastic.
Alison Handley, Head, Center for External Innovation
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Fairness
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