Distinguished Scientist, Multiomics Discovery – Therapeutics Discovery

About This Role

This role involves interpreting high-dimensional multiomics platform outputs, ensuring data quality, and prioritizing cross-platform experiments to translate integrated evidence into actionable decisions for drug discovery and development. The Distinguished Scientist will lead and shape external scientific partnerships to drive multiomics innovation and expand capabilities.

Responsibilities

• Develop and implement advanced platforms that integrate in vitro, in vivo, human, and molecular data to generate robust hypotheses and simulate biological processes
• Leverage innovative foundation models to enhance and streamline assay development, translational biology, and safety predictions
• Lead the creation of tools that integrate biological insights across molecular, cellular, and organismal scales
• Oversee efforts to generate and integrate diverse data streams to uncover critical insights that drive therapeutic breakthroughs
• Define and implement a transformative roadmap in vitro/in vivo correlations to enable human translation through integrated Multiomics
• Champion novel approaches to therapeutic hypothesis generation and modality selection
• Partner with data science, translational, and discovery teams to accelerate the journey from discovery through development

Requirements

• 10+ years of experience in computational technology development and drug discovery
• Demonstrated expertise in applying computational biology to drive program progression
• Exceptional communication skills
• Experience working in cross-functional, matrixed environments
• Proven ability to manage strategic initiatives
• Proven ability to lead high performing teams through matrix leadership
• Proficiency in programming languages such as R or Python
• Established track record using computational biology to address complex biology questions through evidence of publications and portfolio impact
• Willingness to travel domestically and internationally up to approximately 20%

Qualifications

• PhD in Computational Biology, Biology, Bioinformatics or a related field
• 10+ years of experience in computational technology development and drug discovery, with demonstrated expertise in applying computational biology to drive program progression

Nice to Have

• Familiarity with diverse modalities including biologics, small molecules, peptides, antibody drug conjugates, and targeted protein degraders
• Experience cultivating and developing relationships to identify and leverage opportunities to meet the evolving organizational needs
• Evidence of innovation and ability to keep up with the rapid pace of scientific advancement in computational biology, AIML, and Multiomics data integration

Skills

* Required skills

Benefits