Overview Join St. Jude as a Computational Biology Member to develop innovative omics technologies and AI-driven tools for pediatric biology and disease. You will lead cross-disciplinary efforts to design assays and computational methods that scale to large datasets and clinical contexts. This role offers collaboration across wet and dry labs, data science, and clinical informatics to advance patient care and precision medicine. You will shape foundational AI models and omics platforms that enable real-time scientific impact, within a mission-driven, collaborative environment. This is a chance to influence pediatric cancer research at scale, using cutting-edge technology and open science practices.
Compensation / Benefits- generous startup funds
- computing resources
- equipment
- laboratory space
- personnel support
- institutional support beyond startup
Responsibilities- Develop next gen omics platforms for pediatric biology and diseases (Area A)
- Pioneer assay-algorithm co design and lead reproducible, open science
- Build foundation models and AI tools for multi modal biomedical data (Area B)
- Lead cross disciplinary collaboration and contribute to clinical informatics pipelines
- Contribute to high throughput analysis, pipeline automation, and cloud/HPC resources access
- Engage with institutional projects (e.g., PCGP, St. Jude Cloud, COMET) and institutional core facilities
Key requirements- PhD (or equivalent) with relevant postgraduate experience
- Area A: evidence of assay-algorithm co design in RNA/CRISPR/single cell/spatial/metabolomics
- Area B: experience with foundation models, multimodal learning, clinical NLP, and trustworthy AI; familiarity with clinical informatics
- cross functional leadership
- strong collaboration and communication
- problem solving and strategic thinking
- RNA biology (splicing/fusions)
- CRISPR functional genomics (CRISPRi/a, Perturb seq)
- single cell and spatial omics
