Staff Software Engineer / Machine Learning Engineer - Radiology
St. Jude Children's Research Hospital1 day ago
Memphis, TN, USAStaff+
Base Salary
$104k - $186k/yr
Responsibilities
- Develop, train, and validate machine learning and deep learning models for segmentation, quantification, and detection across CT, MRI, and X-ray.
- Design and implement 2D and 3D architectures, including CNNs, transformer-based models, and foundational models.
- Build scalable pipelines for data preprocessing, model training, evaluation, and deployment.
- Develop quantitative imaging methods such as volumetrics, density measurements, and biomarker extraction.
- Use curated multi-institutional datasets to improve model generalizability and robustness.
- Collaborate with radiologists and engineering teams to define clinically meaningful outputs.
- Produce regulatory-grade documentation for datasets, model development, validation, and performance.
- Ensure reproducibility and traceability through data, model, and code versioning.
- Support FDA 510(k) and De Novo submissions by providing technical documentation and validation evidence.
- Contribute to software quality and security activities, including vulnerability assessment and penetration testing with cybersecurity and regulatory teams.
- Use modern LLM-based coding assistants to accelerate development and improve code quality.
- Participate in code reviews, Git-based development, testing, manuscripts, grants, and technical reporting.
Requirements
- Bachelor’s degree in computer science, data science, information science, business, or a related field with 5+ years of experience, or a master’s degree with 3+ years of experience.
- Experience with programming languages, databases, software development lifecycles, and the position-specific technical and scientific domains.
- At least 3 years of experience developing machine learning or deep learning models for image analysis.
- Experience with segmentation, detection, and/or quantitative imaging algorithms in 2D and/or 3D.
- Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Experience with modern architectures including U-Net variants, detection frameworks, transformers, or foundational models.
- Familiarity with DICOM and medical imaging workflows, evaluation metrics, version control, and collaborative development.
- Experience producing clear, structured technical documentation and using LLM-based coding assistants such as Claude or Codex.
- Experience developing and documenting AI solutions for clinical translation or regulatory submissions is preferred.
- Familiarity with Good Machine Learning Practice, regulatory or quality collaboration, cybersecurity concepts, and software security principles.
- Experience with large multi-institutional datasets, radiology workflows, quantitative imaging biomarkers, cloud or high-performance computing, and research or clinical deployment is preferred.
- Demonstrated prior performance in a comparable role and ability to work collaboratively in a translational, regulatory-aware environment.
Benefits
- Opportunities for authorship on high-impact manuscripts and participation in multi-institutional research collaborations.
- Opportunities to contribute to grant proposals and funded research initiatives.
- Exposure to translational AI development, including projects targeting FDA 510(k) clearance.
- Ability to build an academic portfolio alongside real-world clinical impact.
Categories
About St. Jude Children's Research Hospital
St. Jude Children’s Research Hospital is a nonprofit pediatric research hospital that treats children with cancer and other life‑threatening diseases and advances therapies through in-house labs, clinical trials, and data resources like St. Jude Cloud. Founded in 1962 and headquartered in Memphis, Tennessee, it is funded primarily by public donations raised by ALSAC and by research grants. The hospital provides care regardless of a family’s ability to pay and collaborates globally.