New York, 10065, NY,
United States
Memorial Sloan Kettering Cancer Center Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Memorial Sloan Kettering Cancer Center and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 21838 Memorial Sloan Kettering Cancer Center employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Memorial Sloan Kettering Cancer Center has purchased the following applications: iCIMS Recruit Applicant Tracking System for Applicant Tracking System in 2014, Epic ASAP for Clinical Trial Management in 2023, Snorkel Flow for ML and Data Science Platforms in 2022 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Memorial Sloan Kettering Cancer Center is running and its propensity to invest more and deepen its relationship with iCIMS , Oracle , Workday or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Memorial Sloan Kettering Cancer Center revenues, which have grown to $6.63 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Memorial Sloan Kettering Cancer Center intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| iCIMS | Legacy | iCIMS Recruit Applicant Tracking System | Applicant Tracking System | HCM | n/a | 2014 | 2014 |
In 2014, Memorial Sloan Kettering Cancer Center implemented iCIMS Recruit Applicant Tracking System. iCIMS Recruit Applicant Tracking System serves as the Applicant Tracking System powering MSK's public careers presence, with job listings and candidate application intake surfaced through MSK's external talent portal at externaltalent-mskcc.icims.com. The deployment centralized online job posting and applicant capture on the institutional website to create a single external entry point for candidates and to streamline requisition publication.
Configuration work focused on requisition management, candidate profile and resume intake, workflow based application routing, screening and status tracking, interview scheduling, and offer workflow capabilities consistent with Applicant Tracking System functionality. Administrators built job templates, approval workflows, and candidate attribute mappings to enforce structured hiring processes and to maintain consistent candidate status taxonomies. Career site branding and job widget embedding were used to preserve MSK's web experience while directing applicants into iCIMS Recruit.
Operational coverage included Talent Acquisition teams, HR administrators, and hiring managers who leveraged the iCIMS Recruit Applicant Tracking System for posting positions, screening candidates, and managing candidate lifecycles. Governance established role based access controls and centralized configuration ownership to maintain consistent requisition handling and recruiter workflows. The implementation positioned the external iCIMS portal as the primary public interface for external recruiting while standardizing application intake procedures across the institution.
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Benefits Administration | HCM |
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2011 | 2018 |
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Compensation Management | HCM |
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2011 | 2018 |
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Core HR | HCM |
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2012 | 2018 |
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Core HR | HCM |
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2015 | 2018 |
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Learning and Development | HCM |
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2017 | 2017 |
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Payroll | HCM |
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2015 | 2015 |
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Recruiting | HCM |
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2011 | 2011 |
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Time and Attendance | HCM |
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2017 | 2017 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Epic Systems | Legacy | Epic ASAP | Clinical Trial Management | ERP Services and Operations | n/a | 2023 | 2023 |
In 2023 Memorial Sloan Kettering Cancer Center implemented Epic ASAP as part of its Clinical Trial Management tooling. The deployment was led through institutional training and systems analysis roles, with Principal Trainer and Systems Analyst/Trainer assignments active from February 2023 onward and delivery executed in a hybrid onsite and remote model.
Configuration work centered on Clinical Trial Management workflows typical to the category, including scheduling and research encounter documentation, subject tracking, and protocol-aligned operational workflows. Epic ASAP was purposefully configured to support clinical operations and research staff workflows, with systems analysis and end user training embedded into the configuration and go live phases.
Epic ASAP was implemented inside the broader Epic Systems environment and worked in concert with Epic Grand Central and Epic CareEverywhere as part of the application set cited by internal trainers. Operational coverage included clinical operations, research teams, IT, and training organizations, aligning CTMS workflows with enterprise ambulatory and cross-site access points.
Governance and rollout emphasized trainer-led adoption and formalized end user training, supported by systems analysts focused on clinical operations, project management, and workflow alignment. Documentation, role-based training, and phased adoption were used to embed Epic ASAP into research operations and institutional clinical trial governance.
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Electronic Health Record | ERP Services and Operations |
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2025 | 2025 |
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Electronic Health Record | ERP Services and Operations |
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2023 | 2023 |
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Electronic Health Record | ERP Services and Operations |
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2023 | 2023 |
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Electronic Health Record | ERP Services and Operations |
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2025 | 2025 |
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Enterprise Asset Management | ERP Services and Operations |
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2018 | 2018 |
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Healthcare ERP | ERP Services and Operations |
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2023 | 2023 |
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Healthcare ERP | ERP Services and Operations |
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2012 | 2012 |
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Patient Management | ERP Services and Operations |
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2018 | 2018 |
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Patient Management | ERP Services and Operations |
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2023 | 2023 |
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Pharmacy Management | ERP Services and Operations |
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2020 | 2020 |
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Travel Management | ERP Services and Operations |
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2015 | 2015 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Snorkel AI | Legacy | Snorkel Flow | ML and Data Science Platforms | AI Development | n/a | 2022 | 2022 |
In 2022, Memorial Sloan Kettering Cancer Center implemented Snorkel Flow, an ML and Data Science Platforms application, to programmatically label pathology reports. The deployment targeted pathology-report labeling tasks and was designed to programmatically label thousands of reports, reducing subject matter expert labeling time while preserving classification quality in clinical documentation workflows.
Snorkel Flow was used to author and manage programmatic labeling functions and to orchestrate data-centric labeling pipelines, enabling weak supervision and iterative model training with human-in-the-loop validation. The implementation emphasized labeling function development, probabilistic label modeling, and label conflict resolution as core capabilities of Snorkel Flow, supporting automated label propagation and repeatable data preparation for downstream models.
Operational coverage included pathology, clinical informatics, and data science teams within the United States context, with workflows that embedded SME review and iterative validation into model training cycles. Governance focused on structured human-in-the-loop validation and iterative labeling governance to ensure clinical accuracy. Publicly reported outcomes for the pathology labeling use cases included about 95% accuracy and approximately 85% precision, alongside a dramatic reduction in SME labeling time.
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Analytics and BI | Analytics and BI |
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2014 | 2018 |
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Analytics and BI | Analytics and BI |
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2014 | 2014 |
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Data Warehouse | Analytics and BI |
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2020 | 2020 |
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Data Warehouse | Analytics and BI |
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2020 | 2020 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application, Web and Enterprise Search | Content Management |
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2018 | 2018 |
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Digital Signing | Content Management |
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2020 | 2020 |
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Web Content Management | Content Management |
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2020 | 2020 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Account Based Marketing | CRM |
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2022 | 2022 |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Experience | CRM |
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2019 | 2019 |
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Customer Support | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2011 | 2011 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2016 | 2016 |
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IT Service Management | ITSM |
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2022 | 2022 |
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IT Service Management | ITSM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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API Management | PaaS |
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2021 | 2021 |
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Apps Development | PaaS |
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2011 | 2011 |
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Operating System (OS) | PaaS |
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2007 | 2007 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Web Gateways (SWG) | CyberSecurity |
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2018 | 2018 |
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