Software Engineer II

Software Engineer II – Dermatology Service

Exciting Opportunity at MSK: Join the world-renowned Memorial Sloan Kettering Cancer Center (MSK) and contribute to groundbreaking cancer research and patient care! We are seeking an experienced Software Engineer to support the innovative work of our Dermatology Service, a leader in skin cancer detection and imaging technologies.

Role Overview:

• Architect & Build Full-Stack Platforms: Design, develop, and maintain full-stack applications (web & cloud) that serve as the foundation for the Dermatology Department's Imaging-Informatics Studies, AI research, and clinician training programs.
• Develop Interactive Data Collection and Learning Environments: Develop interactive learning platforms (e.g., Khamingo) for medical training, including active learning modules, videos, gamification, and adaptive pathways with real-time feedback and data collection to enable AI development (e.g., Vision Language Models, Foundational Models).
• Create Scalable Data Systems: Build infrastructure to ingest, process, and manage vast collections of clinical images and metadata at scale, including systems for the automatic assignment of performance-based user data.
• Integrate AI into Clinical & Educational Workflows: Integrate advanced AI/ML models into web-based platforms to create real-world diagnostic decision support tools and automated image analysis systems.
• Collaborate with Multidisciplinary Experts: Partner closely with researchers, clinicians, and engineers at MSKCC, the International Skin Imaging Collaboration (ISIC), and other partner institutions to align technology with clinical and educational goals.
• Uphold Gold Standards of Quality & Security: Ensure sustainable and scalable code development, and robust security, strictly adhering to healthcare data compliance standards like HIPAA and GDPR.

Key Qualifications:

• 3+ years of full-stack development experience, ideally in a healthcare, edtech, or AI-related environment.
• Strong proficiency in Python and R for data analysis, modeling, and backend development.
• Full-Stack Proficiency:
• Frontend: Strong command of a modern framework like React, Angular, or Vue.js.
• Backend: Expertise in Node.js, Django, and Flask.
• Databases: Experience with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Cloud & Deployment: Proven experience deploying and scaling applications on a cloud platform (AWS preferred).
• AI/ML Integration: Demonstrated ability to integrate machine learning models into production software using frameworks like TensorFlow, PyTorch, or formats like ONNX.
• Data Pipelines: Familiarity with building data pipelines for image processing and managing large-scale metadata.
• Application Security: Experience implementing user authentication, role-based access control, and other security best practices.
• Preferred Qualifications:
• Experience in medical imaging, healthcare IT including knowledge of medical data standards (DICOM, HL7, FHIR).
• Experience in educational tech or game frameworks (e.g., Unity, Phaser).
• Experience in interactive learning platforms utilizing adaptive feedback.
• Familiarity with DevOps tools (Docker, Kubernetes, Github, CI/CD).

Core Skills:

• Effective communication with both technical and non-technical collaborators.
• Strong problem-solving and analytical skills.
• Proactive professional with strong observation skills to understand the needs of their work environment.
• Results-driven team player who can also take the lead and work independently when necessary

Additional Information:

• Schedule: Monday - Friday, 37.5 hours
• Location: In person preferred – Hybrid possible - 530 E. 74th Street, NYC (Koch)
• Reporting to: Head of Dermatology

Pay Range: $121,400.00 - $200,400.00 FSLA Status: Exempt

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

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