Faculty Position - Department of Computational Biology
About The Position
The Department of Computational Biology at St. Jude Children's Research Hospital is seeking applications for Assistant/Associate/Full Member (faculty) positions. The roles focus on developing next-generation omics platforms for pediatric biology and diseases (Area A) or building foundation models and agentic AI tools for pediatric precision medicine using diverse data types (Area B). The department offers a highly collaborative research environment with extensive resources, including cloud computing, high-performance computing, a genomics laboratory, wet lab support, and a software engineering team. Investigators have access to institutional projects and core facilities. The hospital aims to be a driving force behind cures by analyzing complex biomedical data in pediatric cancer and creating innovative technologies and computational tools.
Requirements
- PhD (or equivalent) with at least three years of relevant postgraduate experience, or a demonstrated track record of developing novel, high impact computational methods.
- For Area A: evidence of assay–algorithm co design in RNA/CRISPR/single cell/spatial/metabolomics.
- For Area B: experience with foundation models, multimodal learning, clinical NLP, and trustworthy AI; familiarity with clinical informatics.
Nice To Haves
- Experience building LLM driven, agentic systems for automated analysis or experiment planning with appropriate guardrails is highly valued.
Responsibilities
- Develop next generation omics platforms for pediatric biology and diseases.
- Pioneer assay–algorithm co design.
- Demonstrate cross disciplinary leadership and lead reproducible & open science.
- Build foundation models and agentic AI tools spanning DNA/RNA/protein/imaging/spatial/EHR data for pediatric precision medicine.
- Develop trustworthy AI (calibration, uncertainty, drift monitoring).
- Build LLM driven, agentic systems for automated analysis or experiment planning with appropriate guardrails.
Benefits
- Generous startup funds
- Computing resources
- Equipment
- Laboratory space
- Personnel support
- Potential institutional support beyond the start up phase
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
