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.
How to Apply
Please submit the following directly via the online application:
- a curriculum vitae,
- a 2-3 page summary of research interests, and
- the names of three references
For more information, contact ComputationalBiologyRecruitment@stjude.org.