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 generative models for novel antigen candidates
Domain
Biopharmaceuticals / Computational Biology / Multi-omics
Deliverable
production ML models
Required skills
AI/ML method development, deep learning, generative modeling, multi-omics integration, scientific programming (Python/R), large-scale data processing, workflow development, cloud computing, agentic AI, FAIR data principles
Preferred skills
short- and long-read transcriptomics, polysome sequencing, proteomics, in silico modeling of cellular surface protein biology, therapeutic hypothesis generation, algorithm development with publications/patents
Technologies
Python, R, cloud computing platforms, version control, continuous integration
Responsibilities
Develop novel AI/ML methods for processing multi-modal datasets to identify cell surface antigens; Build workflows to harmonize public and internal datasets for constructing surfaceome atlases; Design computational tools for protein localization and internalization behavior; Apply generative modeling to propose novel antigen candidates; Collaborate with experimental teams to design and guide validation experiments
Seniority
Senior, hands-on IC
