Associate Director High Performance Computational & Data Ecosystem - Scientific Computing & Data

The Scientific Computing and Data team at the Icahn School of Medicine at Mount Sinai partners with scientists to accelerate scientific discovery for basic and translational science research. To achieve these aims, we support a high-performance computing and data ecosystem along with MD/PhD-level support for researchers. The group is composed of a high performance computing team, a research clinical data warehouse team and a research data services team.
 

The Associate Director, High Performance Computational and Data Ecosystem, brings a strategic, tactical and customer-focused vision to evolve Sinai’s computational and data-rich environment to be continually more resilient, scalable and productive. The development and execution of the vision includes a deep technical understanding of the best practices for computational, data and software development systems along with a focus on world-class customer service. The Associate Director is a productive partner for researchers and technologists throughout the organization and beyond.
 

The Associate Director is responsible for architecting, designing and managing the technical operations for Scientific Computing and Data’s computational and data science ecosystem. This ecosystem includes high-performance computing and data systems, Data Ark data commons, electronic health records in the Mount Sinai Data Warehouse, REDCap and other clinical research databases, integration with other technology systems at Mount Sinai, and a software development infrastructure. The Associate Director is highly collaborative, proactive, a problem solver and an effective team builder. This position reports to the Director for High Performance
Computational & Data Ecosystem in Scientific Computing and Data.
 

The Icahn School of Medicine at Mount Sinai was awarded nearly $500 million in research funding in 2023, with nearly $200 million of research enabled through the Scientific Computing and Data team. Mount Sinai is ranked 14th nationwide in NIH funding and among the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges

Deliver a world-class, sustainable computational and data ecosystem
● Oversee technical operations and system administrations including the design, expansion, monitoring, support, hardware and software configuration, system performance, security, high-availability infrastructure, networking and maintenance for Scientific Computing and Data’s computational and data science ecosystem consistent with best practices. Key components include a 25,000+ core, 500 GPU and 50+ petabyte raw parallel file system,40+ petabyte archival storage system, and a research clinical data warehouse with a high availability infrastructure including 80 servers spanning a diverse set of applications such as REDCap, Jira, Postgres, MySQL, SQL and other Sinai-developed software.
● Develop sustainable technology and process solutions to meet researcher’s needs consistent with institutional policies and budgetary constraints. Work with stakeholders to evaluate multiple solutions, articulating advantages and disadvantages to guide the selection process.
● Lead the integration of HPC resources with laboratory equipment such as genomic sequencers, etc.
● Manage and assist in the troubleshooting, isolation and resolution of all technical issues.
● Manage and assists the team to resolve user support requests from researchers.
● Partner with other peers regionally, nationally and internationally to maintain a world-class research infrastructure for Mount Sinai.
● Assist in the development of research proposals.
● Identify opportunities for automation and the use of AI. Implement these approaches as appropriate.
● Manage the framework for effective system documentation.
● Ensure coordination with Digital and Technology Partners and alignment with all federal and state regulatory guidelines and MSHS institutional processes including cybersecurity.
● Provide after-hours support for critical system issues.
● Identify and track metrics and manage usage reports.
● Prepare and manage budgets for hardware, software and maintenance. Participate in
chargeback/fee recovery analysis and provides suggestions to make operations sustainable
and streamlined.
● Complete projects on scope, schedule and budget.

Develop, foster and grow a high performing technical operations team
● Grow and sustain a team of system focused on operational efficiency and excellence.
● Set priorities for the team. Coach direct reports, subject matter experts and sub-team leads in management and leadership skills, in additional to guidance on building strategies and roadmaps. Inspire and foster an environment of cooperation among different departments and co-workers.
● Ensure that career development and growth paths f