Overview
On Site
USD 121,400.00 - 200,400.00 per year
Full Time
Skills
Clinical Research
Informatics
Research
Training
Active Learning
Gamification
Real-time
Data Collection
Language Models
Collections
Workflow
Decision Support
Image Analysis
Collaboration
Regulatory Compliance
HIPAA
Health Care
Educational Technology
Python
R
Data Analysis
Modeling
Backend Development
React.js
AngularJS
Vue.js
Node.js
Django
Flask
SQL
NoSQL
Database
PostgreSQL
MongoDB
Cloud Computing
Amazon Web Services
Artificial Intelligence
Machine Learning (ML)
TensorFlow
PyTorch
Image Processing
Management
Meta-data Management
Software Security
Authentication
Access Control
Medical Imaging
Healthcare Information Technology
DICOM
HL7
Unity
DevOps
Docker
Kubernetes
GitHub
Continuous Integration
Continuous Delivery
Durable Skills
Effective Communication
Conflict Resolution
Problem Solving
Analytical Skill
Reporting
Recruiting
SAP BASIS
Law
Job Details
About Us:
The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.
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:
Key Qualifications:
Core Skills:
Additional Information:
Helpful Links:
#LI-POST
#IND
Pay Range: $121,400.00 - $200,400.00
FSLA Status: Exempt
Closing:
At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.
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.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.
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
Helpful Links:
- Compensation Philosophy
- Benefits
#LI-POST
#IND
Pay Range: $121,400.00 - $200,400.00
FSLA Status: Exempt
Closing:
At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.
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.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.