Job Summary

A company is seeking a Principal Scientist for their Clinical Informatics Team to develop and implement novel approaches in translational medicine and improve treatment and prevention.

Key Responsibilities:

• Develop and apply computational methods for disease subtype stratification and digital phenotyping algorithm
• Build machine learning pipelines to assess risk for diseases using integrated big data
• Identify novel indications or adverse events for medications to recommend strategies for improving standard care

Qualifications:

• PhD in Bioinformatics or Computational Biology with 8+ years of post-graduate experience in analyzing large genomics and EMR datasets
• Extensive experience in machine learning and developing advanced computational techniques for disease problems
• Proven experience in developing AI models for real-world environments and integrating ML into large-scale production applications
• Knowledge of statistics methods, deep learning, and familiarity with DL libraries
• Experience with NLP and text mining is a plus