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Associate Data Scientist - Cambridge Massachusetts
Company: Takeda Location: Cambridge, Massachusetts
Posted On: 04/15/2024
By clicking the "Apply" button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda's Privacy Notice and Terms of Use . I further attest that all information I submit in my employment application is true to the best of my knowledge. Job Description Join Takeda as an Associate Data Scientist out of our Cambridge, MA location. The Associate Data Scientist role is a collaborative, hands-on position that leverages data science to optimize the delivery of key information to business stakeholders. This is a core position of the Data Science team, which operates as a unique center of excellence that partners with franchises across Takeda's US Business Unit. Our story is one of high impact with immediate results, leveraging our data, creativity, and perseverance with purpose to support better patient outcomes. As an Associate Data Scientist, you will play a key role in expanding our influence by building and implementing machine learning models and supporting their field execution. This is a rare opportunity where your contributions will have a meaningful impact. Many rare disease patients endure a years-long journey before receiving an accurate diagnosis and appropriate treatment. The models you will develop will enable delivery of the right information, at the right time, for the right HCP treating the right patient. The Data Scientist will directly impact patient outcomes by supporting faster diagnosis, treatment, and improved access to life-changing therapies. How you will contribute: Analytics - Complete analytics (e.g., machine learning, artificial intelligence, advanced statistics) to support patient journey analysis and related analyses of interactions within the healthcare ecosystem
- Implement the ideal methodology to apply for each analysis or process based on data availability and limitations; demonstrate curiosity in proposing different approaches with the manager
- Implement repeatable, interpretable, dynamic, and scalable machine learning models that can be seamlessly incorporated into existing workflows
- Derive insights from research and analyses to address the needs of business stakeholders in close collaboration with the manager
- Process and analyses extensive health-related datasets, including Structured, Semi-structured, and Unstructured data
Collaboration - Demonstrate curiosity by seeking different points of view and how analytics impact the business
- Connect technical and data skills to identify improvements throughout the project lifecycle
- Deliver analyses and reports in a timely manner for stakeholder readouts, internal project meetings, planning processes, and other business needs
- Work closely with the manager to scope data and technical requirements throughout the project lifecycle
Project Management - Fulfill assigned role within a project team while delivering expected results
- Proactively work with manager to balance conflicting individual priorities and readily adapt to evolving business environments and stakeholder needs
- Ensure ethics and compliance guidelines are consistently met
- Collect, aggregate, and document project artifacts, including models, visualizations, outcomes
Minimum Requirements/Qualifications: |
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