Principal Scientist, Biological Network Analytics

This role will directly support the broader Multiomic Discovery efforts through integration and analysis of multiple high dimensional biology datasets within the Biological Network Analytics group and contribute to the understanding of complex biology through advanced data analysis methods.

Key Responsibilities

• Analyze and integrate large datasets generated from multiple platforms including NGS, Proteomics, and high content imaging
• Apply large scale Multiomic capabilities to support a modality agnostic portfolio across therapeutic areas
• Partner with wet and dry lab stakeholders within Multiomic Discovery
• Collaborate with cross-functional teams to support the design and implementation of experiments

Required Qualifications

• Excellent written communication, verbal communication, and oral presentation skills

Preferred Qualifications

• Experience as a problem solver and team collaborator able to facilitate understanding between biologists and data scientists
• Ability to manage multiple projects and meet deadlines
• Knowledge of statistical methods for biological data analysis
• Knowledge of cellular assay development and applications in drug discovery
• Experience working with and/or guiding external collaborators in industry or academia
• Strong background in statistical analysis and data visualization techniques