Faculty Position - Department of Computational Biology

St. Jude Children's Research Hospital; Memphis (TN); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Highly competitive packages

Generous startup funds

Access to computing resources and lab space

Job summary

A leading medical research institution in Memphis, TN, seeks a faculty member in the Department of Computational Biology to innovate in omics technologies and AI for pediatric precision medicine. Ideal candidates will have a PhD and experience with foundation models, clinical informatics, and computational methods. The role offers competitive compensation and a collaborative research environment.

Qualifications

• Three years of relevant postgraduate experience or demonstrated track record of novel computational methods.
• For Area A: Evidence in RNA/CRISPR/single-cell/spatial/metabolomics.
• For Area B: Experience with foundation models and clinical informatics.

Responsibilities

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

Skills

Assay–algorithm co-design

Foundation models

Clinical NLP

Trustworthy AI

Trustworthy AI

Education

PhD (or equivalent)

Job description

Faculty Position - Department of Computational Biology

Location: Memphis, TN

Category: Faculty

Department: Computational Biology

Shift: Weekday Day

Position Type: Full Time

Scheduled Weekly Hours: 40

JR5925

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‑ 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:

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

For more information, contact [e-mail].

St. Jude is an Equal Opportunity Employer

No Search Firms

St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.