Faculty Position - Department of Computational Biology

ALSAC; Memphis (TN); On-site; USD 120,000 - 150,000; Full time

Job summary

St. Jude in Memphis seeks faculty to advance omics technologies and AI in pediatric biomedicine. Candidates should lead assay–algorithm co design, drive reproducible science, and collaborate across departments on foundation models and clinical informatics pipelines.

We welcome applications at Assistant, Associate, or Full Member levels, with strong experimental and computational track records and a commitment to safe, clinic-ready AI in pediatric medicine.

Qualifications

• 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.

Responsibilities

• Develop next generation omics platforms for pediatric biology and diseases.
• Pioneer assay–algorithm co design and lead reproducible, open science.
• Build foundation models and agentic AI tools spanning multi-omic and clinical data.

Skills

PhD level research

Computational methods

Cross-disciplinary leadership

Education

PhD or equivalent

Tools

Foundation models

Clinical informatics

Job description

SJCRH

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.

Environment & Resources

The Department occupies 28,700 square feet of laboratory and office space. Investigators have dedicated shared resources for large scale data analysis and functional validation, including priority access to cloud computing, a local high performance computing facility housed in a state of the art data center, a genomics laboratory for developing new omics technologies and assays, a wet lab supporting dry lab faculty, and an software engineering team for high throughput analysis and pipeline automation. The Department is key in multiple completed and ongoing institutional projects, including Pediatric Cancer Genome Project (PCGP), St. Jude Cloud, PedDep Accelerator, Real Time Clinical Genomics, iTARGETS, and COMET. The research environment at St. Jude is highly collaborative, with opportunities across basic and clinical departments and access to institution wide core facilities led by PhD level scientists.

Compensation & Appointment

We offer highly competitive packages, including generous startup funds, computing resources, equipment, laboratory space, personnel support, and potential institutional support beyond the start up phase. Appointments at the Assistant or Associate or Full Member level will be considered.

Qualifications

• 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.

St. Jude is an Equal Opportunity Employer