Faculty Position - Department of Computational Biology

Thecentermemphis; Memphis (TN); On-site; USD 90,000 - 120,000; Full time

Benefits offered by this job

Generous startup funds

Access to high-performance computing

Laboratory space and personnel support

Job summary

Thecentermemphis is seeking a faculty member in Memphis to join the Department of Computational Biology. The position involves developing next-generation omics platforms and AI tools for pediatric precision medicine.

The ideal candidate will have a PhD and a strong record in computational methods and clinical informatics, with a commitment to safe, reproducible AI. The role offers competitive packages and access to shared resources and collaborative projects.

Qualifications

• PhD with at least three years of relevant postgraduate experience.
• Experience with assay-algorithm co-design in RNA/CRISPR/single-cell/spatial/metabolomics.
• Familiarity with clinical informatics.

Responsibilities

• Develop next generation omics platforms for pediatric biology.
• Build foundation models and agentic AI tools for precision medicine.
• Lead reproducible and open science initiatives.

Skills

AI tools development

Computational methods

Clinical informatics

Omics technologies

Cross-disciplinary leadership

Education

PhD or equivalent

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:

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.

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 a 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, 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.