Bioinformatics Software Engineer III, Pathology and Lab Medicine

Memorial Sloan Kettering Cancer Center • New York, NY

10d • Hybrid

About The Position

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.

Requirements

• 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
• 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
• Must reside in the NYC metro area

Nice To Haves

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

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level