Bioinformatics Software Engineer II, Pathology and Lab Medicine

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.

Exciting Opportunity at MSK!

Our Pathology and Laboratory Medicine Department is looking for a Bioinformatics Software Engineer to join a dynamic team supporting state-of-the-art molecular diagnostics and cancer genomics programs. You will play a key role in developing software tools, web applications, and data workflows that empower our clinicians and researchers to interpret complex genomic information and advance precision oncology.

Role Overview

• Build web applications and APIs that enable genomic data visualization and clinical reporting
• Collaborate closely with bioinformaticians, laboratory scientists, researchers, and clinicians to translate workflow needs into robust software solutions
• Develop, optimize, and maintain computational workflows for NGS data processing
• Improve performance, scalability, and reliability of existing pipelines and tools
• Ensure data quality, reproducibility, and proper documentation across all projects

Key Qualifications

• BS in Bioinformatics, Computer Science, or related field + 5 years of experience OR MS in Bioinformatics, Computer Science, or related field + 2 years of experience
• Strong programming skills in Python
• Experience in web development (e.g., Flask, Django, React)
• Experience with relational databases (PostgreSQL, MySQL) and/or NoSQL (MongoDB)
• Hands-on experience with containerization (Docker, Kubernetes)
• Familiarity with version control (Git/GitHub) and CI/CD workflows
• Understanding of NGS data analysis workflows
• Strong debugging, analytical, and problem-solving skills

Preferred:

• Experience with cloud computing (AWS, GCP, or Azure)
• Knowledge of cancer genomics, variant calling, and annotation

Core Skills

• Ability to translate scientific and clinical needs into maintainable, well-designed software
• Strong communication skills and comfort collaborating with multidisciplinary teams
• Ability to work in fast-paced research and clinical environments
• Commitment to reproducible, traceable, and well-documented work

Additional Information

• Schedule: hybrid, at least 2 days a week in office, must reside in the NYC metro area
• Location: Joy Building, 321 E 61st Street, NYC
• Reporting to: Manager, Bioinformatics Pathology and Laboratory Medicine