St. Jude Children’s Research Hospital

St. Jude Children’s Research Hospital

Senior Scientist– AI for Medical Imaging & Biomedical Informatics

Memphis, TN · Senior

Sponsorship not specified$104k-$186kDetected 12 days ago
PythonAlgorithmsCode ReviewGitMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPLLMsEHR/EMRFDA RegulatoryMicroscopyRadiologyResearchMentoring

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odds of building a lasting career here

88Lottery-free
Cap-exempt (no lottery)100
Sponsors year-round100
Entry-level history60
PERM / green-card track50
Fits your clock70

Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.

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Employer immigration record

from this employer's Department of Labor filings

States it is exempt from the H-1B cap

In 14 Department of Labor filings, this employer states it is a nonprofit or governmental research organization — one of the statutory grounds for exemption from the H-1B cap. Cap-exempt employers can file year-round without entering the lottery.Employer's own attestation on a Department of Labor wage determination, not a USCIS determination — exemption is decided per petition.

Files H-1B transfers

22 transfer filings in the last year, covering 22 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • This position sits within a well-resourced, data-rich research environment, with access to large, multi-institutional datasets and St.
  • Jude Children's Hospital's excellent high-performance computing resources.
  • This role is expected to focus on high-impact model development, novel methods research, and academic output, with opportunities for clinical translation where appropriate.

Responsibilities

  • Build scalable pipelines for data preprocessing, model training, evaluation, and deployment
  • Develop quantitative imaging methods (e.g., volumetrics, density measurements, biomarker extraction)
  • Collaborate closely with radiologists, clinicians, and engineering teams to ground research in what is actually useful and feasible in clinical practice
  • Mentor and provide technical guidance to postdoctoral fellows and PhD students, including project design, code/method review, and manuscript preparation
  • Lead and contribute to manuscripts, grant applications, and technical reporting
  • Experience training, fine-tuning, and/or deploying LLMs (inference optimization, prompt/agent design, or related work)
  • Technology may support portions of our process, but recruiting decisions involve human review and engagement.

Requirements

  • Some datasets will already be curated, but others will require the lab to perform its own data curation and annotation, so experience with these tasks is a valuable asset.
  • Ten (10) years relevant work experience is required
  • Eight (8) years of relevant work experience is required with a Master's degree
  • Five (5) years of relevant work experience is required with a PhD
  • Bachelor's degree in relevant scientific area is required

Nice to have

  • Experience with imaging modalities beyond radiology (e.g., microscopy, pathology, or other biomedical imaging)
  • Experience working directly with clinicians, with some clinical knowledge or exposure that helps distinguish which research directions and model outputs are actually useful in practice
  • Broader background in biomedical informatics (e.g., multi-omics, EHR data, clinical NLP)
  • Experience with large, multi-institutional datasets, including data curation and annotation
  • Experience with cloud or high-performance computing environments
  • Experience deploying models into research environments
  • Exposure to translational AI development or regulatory-aware research (e.g., FDA pathways), though this is not the focus of the role
  • PhD in Computer Science, Data Science, Biomedical Engineering, or a related field (or equivalent research experience)

Compensation

  • In recognition of certain U.S. state and municipal pay transparency laws, St.
  • Jude is including a reasonable estimate of the compensation range for this role.
  • It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case.
  • A reasonable estimate of the current salary range is $104,000 - $186,160 per year for the role of Senior Scientist- AI for Medical Imaging & Biomedical Informatics.
  • This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs.

Benefits

  • Design and implement 2D and 3D model architectures (CNNs, transformer-based, and foundational/vision-language models)
  • Minimum Education and/or Training:
  • Familiarity with DICOM and medical imaging workflows
  • Explore our exceptional benefits!

Company info

  • We are committed to a human-centered hiring experience.

Equal opportunity

  • Jude is an Equal Opportunity Employer

This listing is sourced directly from St. Jude Children’s Research Hospital's careers page and normalized into a canonical job model.