Takeda's Data Sciences Institute aims to accelerate the development of new medicines for patients by leveraging data and digital innovation to drive efficiency and insights.
Requirements
- 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), utilizing SQL and performing 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
- Collaborate with diverse stakeholders across functions to drive innovative solutions, transforming complex, unstructured business problems into data modeling and analytical strategies, and clearly communicating results and limitations
- Manipulate and analyze large, high-dimensional structured and unstructured datasets using query languages, managing code and version control with cloud computing infrastructure such as AWS
- Develop and implement data science projects across the lifecycle, using Python and visualization tools like Tableau and Power BI to create insightful analytics, along with descriptive, predictive, and prescriptive models in the Life Sciences sector
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), utilizing SQL and performing version control and cloud-based deployment on platforms like AWS
- Ensure high quality delivery of data science projects by implementing robust methodologies, quality control measures, and continuous improvement of data governance practices aligned with regulatory standards in Life Sciences
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.
- Mentor and support colleagues, fostering the growth of the data science community, while building expertise in healthcare and pharmaceutical data through research with variety of datasets and tools like Komodo Health and Definitive Healthcare.
- Up to 20% travel required.
