Takeda Development Center Americas, Inc. is seeking to address complex business problems in drug development and market access by generating actionable insights through descriptive, prescriptive, and predictive analytics.
Requirements
- Python
- Tableau/Power BI
- SQL
- AWS
- Machine learning techniques
- Data modeling and analytical strategies
- Cloud computing infrastructure
Responsibilities
- Collaborate with cross-functional stakeholders to develop descriptive, prescriptive, and predictive analytics, generating actionable insights to address complex business problems in drug development and market access
- Translate unstructured business problems into scalable data models, algorithms, and analytical frameworks, leading innovation through the full data science and machine learning lifecycle, from data engineering to model deployment
- Leverage advanced statistical and machine learning techniques to design and deliver data-driven solutions using Python
- Create impactful visualizations with Tableau/Power BI for enhanced clinical and commercial decision-making
- Manipulate and analyze large-scale, high dimensional structured and unstructured datasets from clinical trials, real-world evidence (RWE), and regulatory databases (e.g., FDA)
- Utilize SQL and perform version control and cloud-based deployment on platforms like AWS
- Demonstrate expertise with pharmaceutical and healthcare datasets, including real-world data (RWD), clinical trial data, and drug safety information
Other
- Master’s degree in Computer Science, Information Systems, Math, Data Science in the Life Sciences Sector, or related field, plus 2 years of related experience
- Up to 20% domestic travel required
- Up to 80% remote work allowed from anywhere in the U.S.
- Full time
- Competitive compensation and benefits
