Memorial Sloan Kettering is a 10,000+ person nonprofit cancer hospital and research institution running a complex clinical and research operation on Epic, with active adoption of Python, PyTorch, and cloud infrastructure (AWS, Databricks, dbt). The tech stack reveals a dual-track organization: clinical systems management (Epic, HL7, DICOM, LIMS) layered with modern data and ML tooling (Databricks, dbt, R, Tableau, Power BI), signaling movement toward genomic and translational research pipelines. Hiring velocity is accelerating with 65 roles posted in the last 30 days, skewed heavily toward healthcare and research staff, but notably thin on engineering and data talent—a structural gap given the genomic data processing and informatics expansion projects in flight.
Tech Stack 58 technologies
What Memorial Sloan Kettering Cancer Center Is Building
◆Challenges
- Resource allocation and cost management
- Maintaining consistent blood supply
- Clinical and administrative denials
- Optimizing existing systems
- Ensuring data reproducibility
- Institutional growth
- Technological advancement
- Regional expansion
- Expanding informatics services
- Building high-performing teams
▲Active Projects
- Patient education and clinical support programs
- Special chart reviews for strategic planning initiatives
- Scalable pipelines for genomic data processing
- Lobby music program
- Waste management support at the koch center
- Validation of new antibodies for clia approved ihc/ish protocols
- Development of new ihc and ish protocols
- Radiant component development
- High-fidelity models of endocrine-responsive hrd breast cancer
- Research vision
Hiring Activity
Department
Seniority
Notable leadership hires: Chief Clinical Genetics Service
