Reporting to the Manager, Research Computing Services, the Research Systems Engineer will work with the Columbia Population Research Center (CPRC) leadership and faculty to identify, implement and manage CPRC research computing services, including: research applications; research storage; secure data management; data repositories and archives; training and collaboration approaches.
Research computing strategy and support (50%):
- Reviews technology trends and participates in strategic technical planning activities.
- Develops technical recommendations, drafting specifications and configuring new equipment.
- Places service purchases for CPRC affiliates and CPRC-related research projects.
- Liaises and meets regularly with cross-campus research and technology groups.
- Trains CPRC associates in the use of centrally-managed research services such as the Columbia University IT High Performance Computing service.
- Works with Research Computing Services/Columbia University IT on implementing centrally-managed research services.
- Participates in the development process of new services as appropriate, including such areas as requirements, specifications, development, testing, and project management.
- Maintains a wiki for documentation of computing procedures and equipment.
- Provides specialized system/tool support and computational analysis support for ongoing research projects.
- Administer and support emerging technologies that do not conform to the standard managed desktop/laptop computing environment.
Secure data management (15%):
- Serves as data security officer for projects involving sensitive/restricted data.
- Assists with data security protocol strategy, restricted data application, and IRB protocol language.
- Advises CPRC associates and trains users in secure data practices and issues.
CPRC and University Training and Workshops (15%):
- Participates in the development, planning, and instruction of trainings and workshops in research computing and data science, covering introductory and advanced computation techniques and tools, such as R and Python.
- Collaborates with Columbia groups including CUIT, the Libraries, and the Foundations of Research Computing to enhance, amplify, and cross-promote events and workshops.
- Participates in trainings and personal development opportunities, including Software Carpentry certification, offered by CUIT, the Libraries, and the Foundations of Research Computing, to build skills, enhance knowledge, and learn pedagogical best practices.
Desktop/laptop management and support for specialized services (10%):
- Provides desktop/laptop configuration and support for software and services that cannot be centrally managed.
- Assists with software licensing, ordering hardware and software , and technical and procedural documentation. Works with CPRC associate.
Performs project specific duties and responsibilities as assigned/requested (10%):All other duties as assigned.
- Bachelor's degree and/or its equivalent required.
- Minimum 3-5 years' related experience.
- Proficiency in some/all of the following technologies: Research Computing, Windows/Linux support/administration.
- Prior programming/scripting experience.
- Experience with website development and maintenance.
- Experience with social science research workflows and/or research computing environments.
- Excellent customer service, organizational and time management skills to support research faculty and students.
- Ability to coordinate systems and support with existing Columbia University IT departments.
- The ability to confer and consult with faculty, as well as research staff and students, on technical topics during various project meetings.
- Demonstrated competencies in the areas of leadership, teamwork/collaboration, analytical thinking, communication, and prioritization.
- Excellent written and verbal communication skills.
- Solid network/systems knowledge and understanding of industry standards and practices.
- Advanced understanding of multiple technical infrastructure roles and tools.
- Project management skills.
- Familiarity with R or Python.
- Experience with Social Science research and computational research techniques.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.