Senior Data Scientist – Surfaceome Biology
Core
Develop and apply advanced computational and AI/ML methods to analyze and model surfaceome data, build scalable workflows and atlases, and collaborate with experimental teams to ensure computational predictions translate into actionable insights for therapeutic discovery.
Role type
Senior IC data scientist (computational biology & AI/ML)
Builds
Multi-modal surfaceome atlases, predictive models for protein localization/topology/internalization, and novel antigen candidate proposals
Domain
Biopharmaceuticals / Computational Biology / AI/ML
Deliverable
production ML models
Required skills
AI/ML method development, multi-modal data integration (transcriptomics, proteomics, imaging, single-cell multi-omics), generative modeling, representation learning, scientific programming (Python/R), cloud computing, workflow development, agentic AI systems
Preferred skills
Deep learning, pre-training/fine-tuning/few-shot learning, in silico modeling of cellular surface protein biology, FAIR data principles, molecular and disease biology context
Technologies
Python, R, cloud computing platforms, version control, continuous integration
Responsibilities
Develop novel AI/ML methods for processing and analyzing multi-modal datasets to identify target-tissue specific cell surface antigens; Build workflows to harmonize public and internal datasets for constructing comprehensive multi-modal surfaceome atlases; Design computational tools and predictive models for protein localization, topology, and internalization behavior; Apply generative modeling to propose novel antigen candidates with desirable therapeutic attributes; Collaborate with experimental and translational teams to design and guide validation experiments
Seniority
Senior, hands-on IC
