Faculty Position - Department of Computational Biology

About the role

The Department of Computational Biology at St. Jude seeks applications for Assistant/Associate/Full Member positions in areas such as Omics Technologies and AI in Biomedicine. The department focuses on developing innovative technologies and computational tools that can directly impact patient care.

Responsibilities

• Pioneer assay–algorithm co-design in Omics Technologies, focusing on RNA biology, CRISPR functional genomics, single cell and spatial omics, metabolomics, and immunopeptidomics.
• Build foundation models and agentic AI tools in AI in Biomedicine, covering DNA/RNA/protein/imaging/spatial/EHR data for pediatric precision medicine.
• Collaborate with researchers across basic and clinical departments and utilize institution-wide core facilities.
• Participate in multiple completed and ongoing institutional projects, including the Pediatric Cancer Genome Project, St. Jude Cloud, PedDep Accelerator, Real Time Clinical Genomics, iTARGETS, and COMET.

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.

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.
• Experience with foundation models, multimodal learning, clinical NLP, and trustworthy AI; familiarity with clinical informatics.

Skills

• Assay–algorithm co-design in Omics Technologies, focusing on RNA/CRISPR/single cell/spatial/metabolomics.
• Building foundation models and agentic AI tools in AI in Biomedicine, covering DNA/RNA/protein/imaging/spatial/EHR data for pediatric precision medicine.
• Experience with clinical informatics pipelines and trustworthy AI.
• Experience building LLM-driven, agentic systems for automated analysis or experiment planning with appropriate guardrails.

Benefits

• Compensation includes highly competitive packages, including generous startup funds, computing resources, equipment, laboratory space, personnel support, and potential institutional support beyond the start-up phase.
• Appointments are available at the Assistant or Associate or Full Member level.

Pay

Compensation details are provided in the "How To Apply" section.

Schedule

Details about the schedule are provided in the "How To Apply" section.

Contact

To apply, please submit a curriculum vitae, a 2–3 page summary of research interests, and the names of three references via the online application. For more information, contact ComputationalBiologyRecruitment@stjude.org.