Open Positions

Consider joining the Scientific Computing and Data team

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Scientific Computing and Data is currently seeking candidates to fill the following positions (last updated 07/05/2022)

 

High Performance Computing

Lead High Performance Computing Architect: The Lead HPC Architect is responsible for architecting, designing, and leading the technical operations for Scientific Computing’s computational and data science ecosystem. This ecosystem includes high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. To meet Sinai’s scientific and clinical goals, the Lead 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 for basic and translational biomedical research. 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 strong focus on customer service for researchers. The Lead is an expert troubleshooter and productive team member. (Click here for more information or to apply)

High Performance Computing Architect: The HPC Architect, High Performance Computational and Data Ecosystem, is responsible for the architecture, design and deployment of Scientific Computing’s computational and data science ecosystem. This ecosystem includes high-performance computing (HPC) systems, clinical research databases, and a software development infrastructure for local and national projects. To meet Sinai’s scientific and clinical goals, the Architect has a deep technical understanding of the best practices for computational, data and software development systems along with a strong focus on customer service for researchers. The HPC Architect is an expert troubleshooter and productive team member. The incumbent is a productive partner for researchers and technologists throughout the organization and beyond. This position reports to the Director for Computational & Data Ecosystem in Scientific Computing. (Click here for more information or to apply)

Senior Systems Administrator: Senior Systems Administrator/Engineer is the principal technology expert for Windows and Linux systems in the Scientific Computing group. The incumbent utilizes a thorough understanding of available technology, tools and best practices to design, manage, maintain, upgrade and monitor Scientific Computing’s systems. The incumbent will develop and implement solutions responsive to researcher needs, in conjunction with other technology professionals and consistent with IT policies and Compliance. The systems will support a wide array of applications, including VMware, REDCap, Jira, Postgres, MySQL, SQL server, Tivoli Storage Manager (TSM), and other custom Sinai-developed software. In total, there are approximately 20 physical servers and 30 VMs along with an archival storage system containing over 20 petabytes of data. (Click here for more information or to apply)

Systems Administrator- Linux & Windows: The Systems Administrator II works closely with other members of the Scientific Computing and Data group to provide Windows and Linux system and application support for both end users and the team. This position will install, update, maintain and troubleshoot a diverse set of applications, including VMware, REDCap, Jira, Postgres, MySQL, SQL server, Tivoli Storage Manager (TSM), and other Sinai-developed software. This position is also responsible for keeping the operating systems, applications, networks and other supporting software up-to-date. The systems must be consistent with the industry’s best practices for system administration, configuration management, security, compliance. The incumbent will work together with others in IT and respond to end user tickets and other support requests. In total, there are approximately 20 servers and 60 VMs along with an archival storage system containing over 20 petabytes of data. (Click here for more information or to apply)

 

Programming and Semantic Technology

Web Developer – Research Data Services (.NET Web Development): The Research Data Services Web Developer will join a team of software developers and biomedical informatics specialists to design, build, and support user-facing and backend applications. This software enables Mount Sinai research scientists to create, manage, and analyze biomedical data, including electronic health record data. The team has deep and complementary expertise in several domains including NLP, electronic data capture systems and in applying semantics and knowledge representation to the biomedical domain. The successful candidate will have demonstrated experience building user interfaces using JavaScript frameworks, such as React.js, building connectors to data sources, and working with end users to ensure the user requirements are captured and implemented. The variety of data and research interests we encounter is substantial, and the data we work with is frequently protected health information, so experience working with sensitive data and applying appropriate security controls is crucial. The successful candidate will work at the intersection of state-of-the-art computer science technologies and biomedical science. (Click here for more information or to apply)

Data Discovery Developer: The Data Discovery Developer in Scientific Computing is responsible for the full software development lifecycle of new and existing data-driven applications that enable Mount Sinai research scientists to discover, integrate, and analyze the diverse data assets throughout the hospital and medical school. The successful candidate will have demonstrated experience in building software systems that employ search, data integration, and data visualization components that are targeted at end users with scientific research and data science backgrounds. The variety of data sources and formats that occur in healthcare and medical research is significant, including medical imagery, hospital patient records, doctor’s notes, laboratory measurements, genomics data, and controlled vocabularies of medical and scientific terms (diseases, phenotypes, organic compounds, etc.). (Click here for more information or to apply)

Senior Technical Project Manager: The Senior Project Manager will actively lead, plan and direct strategic projects for Scientific Computing and report directly to the Dean. These Sinai-specific and NIH-funded projects are at the intersection of computer, computational and data science and biomedical translational research and the incumbent will effectively communicate to all stakeholders. The incumbent will be fluent in modern project management best practices, techniques and software. (Click here for more information or to apply)

Semantic Web Java Developer: This role will report to the Director of Research Data Services (RDS) and will work with the Director to design and provide creative solutions for a number of applications that support the research mission of the medical school. In particular, this role is primarily responsible for the continued development and support of the Human Aware Data Acquisition framework (HADatAc), its knowledge graph, and faceted search tools. The HADatAc platform is an open-source infrastructure for modeling scientific studies and measurements using Semantic Web technologies and community developed ontologies for scientific data; it is the core component of the Human Health Exposure Analysis Resource (HHEAR) Harmonized Data Repository. (Click here for more information or to apply)

 

Informatics and Data Architecture

Research Computing and Data Specialist: The Research Computing and Data Specialist will apply computational thinking and world-class customer service skills to assist researchers utilizing Mount Sinai’s high-performance computing and data ecosystem. Mount Sinai’s HPC environment contains over 2 petaflops of computing, 30 petabytes of usable storage, GPUs and over 2,000 applications. The mission for the Scientific Computing and Data group is to collaborate with researchers to accelerate basic science and translational research with the overarching goal of improving clinical care. This position will be responsible for providing exemplary 1:1 consultation service to computational and data researchers utilizing Mount Sinai’s high-performance computational and data ecosystem. The ideal candidate will be experienced at providing Linux and application support for researchers including troubleshooting and resolution of technical issues. The incumbent will be responsible for providing basic support for other research and clinical applications integrated with the HPC ecosystem, including the Electronic Research Application Portal, (eRAP), REDCap, and the Mount Sinai Data Warehouse’s cohort query tools, Leaf and ATLAS. (Click here for more information or to apply)

Healthcare Data Analyst: The Healthcare Data Analyst will collaborate with clinical informaticists and researchers to define and develop appropriate solutions for various reporting needs. These solutions typically involve extracting data from Mount Sinai’s various relational databases, data cleansing, and reformatting into analytic data sets. Solutions may also involve the design, testing, implementation, and ongoing maintenance of data marts. (Click here for more information or to apply)

Healthcare Data Engineer: The Healthcare Data Engineer designs, tests, implements, maintains, and controls the ETL process for the Mount Sinai Data Warehouse, with the overarching goal of accelerating translational research and improving clinical care. The incumbent will develop and transform databases and data marts across multiple platforms, technologies (e.g., Relational, Columnar) and computing environments (e.g., host based, distributed systems, cloud) for Sinai-specific and NIH-funded national resources and projects. The incumbent will design, develop, and manage these resources in a high performance computing and data warehousing environment, utilizing a thorough understanding of available technology, tools, and best practices. (Click here for more information or to apply)

REDCap Application Support Analyst: The Application Support Analyst has a passion for customer satisfaction and attention to detail. This position is primarily responsible for providing exemplary service to clients while handling technical enquiries for REDCap, and also for the Scientific Computing Team’s other Software Products and Services, such as our Electronic Research Application Portal (eRAP), Data Warehouse, Cohort Query Tool (CQT), i2b2, and other Research Products. (Click here for more information or to apply)

The Mount Sinai Health System is an equal opportunity employer. We promote recognition and respect for individual and cultural differences, and we work to make our employees feel valued and appreciated, whatever their race, gender, background, or sexual orientation.