This role involves developing novel AI and computational methods to analyze surfaceome data for identifying novel antigens and accelerating drug discovery
Job Summary
This role involves developing novel AI and computational methods to analyze surfaceome data for identifying novel antigens and accelerating drug discovery.
The successful candidate will build scalable workflows to harmonize multi-modal datasets including transcriptomics, proteomics, and single-cell multi-omics.
Collaboration with experimental teams is essential to ensure computational predictions translate into actionable biological insights for therapeutic modalities.
Matching Summary
This role involves developing novel AI and computational methods to analyze surfaceome data for identifying novel antigens and accelerating drug discovery.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
8-13 years directly related experience
Python or R scientific programming proficiency
Deep learning and generative modeling expertise
Nice-to-have
Experience with agentic AI systems
Familiarity with FAIR data principles
Track record of innovative algorithm development
Key Requirements
8-13 years of directly related experience
Degree in relevant field required
Proven track record in computational biology research