About the Role:
This is a challenging opportunity to join a forward-thinking team in driving innovation through data-driven solutions. The ideal candidate will be a skilled Data Scientist with expertise in Artificial Intelligence/Machine Learning, collaborating closely with cross-functional stakeholders to develop and implement cutting-edge analytics.
* Work alongside R&D professionals to design and implement scalable, repeatable, and automated data and technology solutions that align with our strategic goals.
* Develop deep understanding of Real World Data (RWD) from various sources, including non-traditional data such as patient-reported outcomes, wearables, and mobile health data.
* Pursue strategies for implementing data standards, regulatory compliance, and best practices, such as OMOP, FHIR, and HL7.
* Contribute to defining and executing advanced analytical approaches, including exploratory research methods and AI model applications for RWD analysis across the Research Development Commercial continuum.
* Stay current with emerging trends and technologies, driving the development of advanced analytics capabilities to support evidence generation across the lifecycle.
* Collaborate effectively with associates across business domains and therapeutic areas to deliver complex problems with quantifiable impact.
Ideal Candidate Profile:
* Hold a PhD or MSc in a quantitative discipline, with strong background in AI/ML and relevant experience in Data Science.
* Demonstrate extensive experience in statistical and machine learning techniques, feature engineering, and proficiency in tools like Python, R, SQL, and dashboard building.
* Familiarity with data standards, regulatory requirements, and industry trends is essential.
* Knowledge of data platforms like AWS, DataBricks, or SnowFlake is a plus.