Software Engineer - Image Quantification and… at St. Jude… · Memphis

Summary: St. Jude Children's Research Hospital is seeking a Software Engineer for the Image Quantification and Artificial Intelligence (IQAI) Collaboratory within the Department of Radiology. The role involves engineering core imaging data science infrastructure and collaborating on high-impact AI research to support clinical and research missions, with a focus on pediatric imaging solutions. Responsibilities: - Design, develop, and maintain software applications and pipelines for radiology imaging, tabular, and text data pipelines - Drive the full software development lifecycle, including design, implementation, testing, deployment, and maintenance - Collaborate closely with radiologists, other clinician and scientists,, data engineers, and research staff to gather user needs, define software requirements, and ensure reproducibility - Build user-friendly interfaces and APIs that enable radiologists and researchers to interact with complex image analysis algorithms - Translate computer vision and deep learning models into reliable, well-documented production tools - Develop and maintain APIs, web services, and database systems to support computational radiology workflows - Implement software solutions for large radiology datasets in HPC and cloud environments (e.g., SLURM, Kubernetes, AWS) - Promote best practices in version control, testing, CI/CD, modular design and documentation - Provide technical support, documentation, and training for users - Contribute to open-source software and scientific publications - Perform other duties as assigned to meet the goals and objectives of the department and institution - Maintains regular and predictable attendance Required Qualifications: - Bachelor's degree in computer science, data science, information science, business, or related field required - Minimum Requirement: Bachelor's degree with one 1+ years of relevant experience - Experience with programming languages, databases, and software development lifecycle - Proven experience in developing scientific or production-grade software that is used by others - Proficiency in two or more programming languages (e.g., Python, C++, Java, Go, Rust) is highly preferred; expertise in Python is highly preferred for scientific computing - Experience with version control (Git), containerization (Docker/Singularity), and Linux/HPC/cloud environments - Strong written and verbal communication skills; able to collaborate effectively across disciplines - Familiarity with modern software frameworks and CI/CD practices - Ability to work independently and take ownership of projects from conception to deployment Preferred Qualifications: - Master's degree is preferred in Computer Science, Software Engineering, Bioinformatics, Biomedical Engineering, Electrical Engineering, or a related technical field - Experience with the position-specific technical stack - Expertise in medical imaging tools (e.g., 3D Slicer, ITK-Snap) and web app development (e.g., Django, React) - Strong knowledge of containerization (Docker, Kubernetes), cloud platforms (AWS/GCP/Azure), and HPC environments - Experience with ML/Deep Learning frameworks (PyTorch, TensorFlow) and production ML deployment Required Skills: Python, Software development lifecycle, Machine Learning frameworks Important Skills: Version control (Git), Containerization (Docker), Cloud platforms (AWS) Nice-to-Have Skills: communication skills, work independently Benefits: Professional development, Conference travel, Cross-disciplinary collaboration