Senior Manager, Clinical Data Science

Technical Skills Required:

Experience with two or more of the following languages: R, Python, Shell scripting et al.

Experience with data engineering and unstructured data (text, imaging or omics) from other real world data sources

Experience with sophisticated data science methods and tools used to implement predictive machine learning, deep learning, or NLP

Demonstrated experience with cloud servers and HPC clusters setting up analysis pipelines (genomics, image, etc)

High level of proficiency in Linux and Windows operating systems, and in using various tools within the AWS environment

Demonstrated experience with high level or proficiency in creatively designing and deploying visual analytics and prediction models in web-based interface via Streamlit, R-Shiny or similar programs

Proactively propose initiatives/improvements in data processing, analysis and deployment to advance internal capabilities and deploy more effective solutions for project teams

Experience in state-of-the-art agentic AI (preferred, not a must)