Takeda is a biopharmaceutical company that researches and develops pharmaceutical drugs. They are seeking a Data Scientist to collaborate with stakeholders to develop analytics that address business problems in drug development and market access, while leveraging advanced statistical techniques and machine learning to deliver data-driven solutions.
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, and 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, proactively seeking insights through independent research and collaboration with subject matter experts in medical affairs, regulatory, and clinical operations
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
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
Qualification
Required
Master’s degree in Computer Science, Information Systems, Math, Data Science in the Life Sciences Sector, or related field
2 years of related experience
Collaborate with diverse stakeholders across functions to drive innovative solutions
Transform complex, unstructured business problems into data modeling and analytical strategies
Clearly communicate results and limitations
Manipulate and analyze large, high-dimensional structured and unstructured datasets using query languages
Manage code and version control with cloud computing infrastructure such as AWS
Develop and implement data science projects across the lifecycle
Use Python and visualization tools like Tableau and Power BI to create insightful analytics
Create descriptive, predictive, and prescriptive models in the Life Sciences sector
Mentor and support colleagues, fostering the growth of the data science community
Build expertise in healthcare and pharmaceutical data through research with a variety of datasets and tools like Komodo Health and Definitive Healthcare
Preferred
Benefit
Takeda is a biopharmaceutical company that researches and develops pharmaceutical drugs.
