• Develop and manage machine learning and artificial intelligence solutions to accelerate and enable our R&D global drug development business processes
• Lead agile development team to develop state of the art machine learning pipelines
• Contribute to patient modeling and trial simulations
• Implement and define execution strategies for individual AI and machine learning projects
• Process and transform data to impactful metrics maximizing productivity with artificial intelligence
• Closely partner with the data scientists to execute on the priorities, building a roadmap to deliver the projects from data feasibility to final presentation to senior cross-functional leaders
• Clearly articulate highly technical methods and results to partners to drive decision-making
• Build multi-modal machine learning pipelines using internal and external data such as clinical operations data, productivity data, real-world data, financial, and socio-demographic data

Qualifications

• A Bachelor or Master’s degree with 6 years of experience within a start-up, technology, or healthcare industry or a Ph.D. degree in a quantitative discipline (e.g., artificial intelligence, computer science, statistics, biostatistics, applied mathematics, or similar)
• Experience with machine learning, deep learning, statistical modeling, causal inference, multivariate regression and classification, and natural language processing
• Experience in scrum and agile leadership
• Proficiency with Python and SQL programming languages
• Proficiency in building impactful visualizations
• Experience building ETL frameworks including maintaining and measuring data quality and reporting. Experience with AWS Glue preferred
• Proficiency with a Linux environment
• Experience with at least one orchestration and MLOps tool, for example Jenkins, MLFlow, Airflow
• Passionate about leveraging data to drive scientific innovation
• Excellent interpersonal, communication, and presentation skills
• Ability to effectively communicate technical work to a wide audience
• Fluent in English