Faculty Position Department of Computational Biology

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 assayalgorithm co design demonstrate cross disciplinary leadership and lead reproducible & open science

B AI in Biomedicine

We seek an AIfirst 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 singlecell) proteogenomic/neoantigen prediction computational pathology (WSI modeling slideomics 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 clinicready AI. Experience building LLMdriven agentic systems for automated analysis or experiment planning with appropriate guardrails is highly valued.

Environment & Resources

The Department occupies 28700 square feet of laboratory and office space. Investigators have dedicated shared resources for largescale data analysis and functional validation including priority access to cloud computing a local highperformance computing facility housed in a stateoftheart data center a genomics laboratory for developing new omics technologies and assays a wet lab supporting drylab faculty and an software engineering team for highthroughput 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 institutionwide core facilities led by PhDlevel 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 startup 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 highimpact computational methods.

• For Area A: evidence of assayalgorithm codesign in RNA/CRISPR/singlecell/spatial/metabolomics.

• For Area B: experience with foundation models multimodal learning clinical NLP and trustworthy AI; familiarity with clinical informatics.

How to Apply

Please submit the following directly via the online application:

(1) a curriculum vitae (2) a 23 page summary of research interests and (3) the names of three references

For more information contact

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