Faculty Position - Department of Computational Biology

St. Jude Children's Research Hospital • Memphis, TN

85d

About The Position

Be the force behind the cures. From analyzing complex biomedical data in pediatric cancer to creating innovative technologies and computational tools, your work at St. Jude can directly impact patient care. The Department of Computational Biology invites applications for Assistant/Associate/Full Member (faculty) positions in, but not limited to, the following areas: A — Omics Technologies We seek a computational technology innovator to develop next generation omics platforms for pediatric biology and diseases. Areas of interest include RNA biology (splicing/fusions), CRISPR functional genomics (CRISPRi/a, Perturb seq, combinatorial screens), single cell and spatial omics, metabolomics, and immunopeptidomics. The successful candidate will pioneer assay-algorithm co design, demonstrate cross disciplinary leadership and lead reproducible & open science. B — AI in Biomedicine We seek an AI‑first scientist to build foundation models and agentic AI tools spanning DNA/RNA/protein/imaging/spatial/EHR data for pediatric precision medicine. Topics include regulatory genomics foundation models, multimodal tissue/cell models (WSI + spatial + single‑cell), proteogenomic/neoantigen prediction, computational pathology (WSI modeling, slide‑omics fusion) and clinical informatics, plus trustworthy AI (calibration, uncertainty, drift monitoring). Candidates should have a record of impactful methods/tools, experience with clinical informatics pipelines, and a commitment to safe, reproducible, clinic‑ready AI. Experience building LLM‑driven, agentic systems for automated analysis or experiment planning with appropriate guardrails is highly valued.

Requirements

• PhD (or equivalent) with at least three years of relevant postgraduate experience.
• 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.

Responsibilities

• Develop next generation omics platforms for pediatric biology and diseases.
• Pioneer assay-algorithm co design.
• Demonstrate cross disciplinary leadership.
• Lead reproducible & open science.
• Build foundation models and agentic AI tools for pediatric precision medicine.
• Work on regulatory genomics foundation models and multimodal tissue/cell models.
• Conduct proteogenomic/neoantigen prediction and computational pathology.
• Ensure trustworthy AI through calibration, uncertainty, and drift monitoring.

Benefits

• Highly competitive packages.
• Generous startup funds.
• Access to computing resources and equipment.
• Laboratory space and personnel support.
• Potential institutional support beyond the start‑up phase.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Hospitals
• Education Level: Ph.D. or professional degree