Associate Director Biomarker Data Scientist

This role involves developing computational and statistical methods to analyze multimodal clinical and omics data, supporting biomarker discovery and drug development processes.

• Develop computational methods
• Apply statistical analysis
• Model multimodal data
• Partner with statisticians
• Execute biomarker analyses

The technical environment includes advanced ML and Deep Learning techniques applied to clinical, omics, and real-world datasets, with a focus on patient segmentation and biomarker analysis.

The ideal candidate is a senior data scientist with expertise in computational methods, statistical analysis, and deep learning applied to multimodal clinical and omics datasets. They have strong leadership skills and experience translating complex data into actionable hypotheses for biomarker discovery.