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Program Manager, Data Sciences

Job in New York, New York County, New York, 10261, USA
Listing for: Columbia University Irving Medical Center
Full Time position
Listed on 2026-08-14
Job specializations:
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 91000 - 110000 USD Yearly USD 91000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: New York

Grade 105

  • Job Type: Officer of Administration
  • Bargaining Unit:
  • Regular/Temporary:
    Regular
  • End Date if Temporary:
  • Hours Per Week: 35.00
  • Standard

    Work Schedule:
  • Building:
  • Salary Range: $91,000-$110,000
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

Position Summary

The Research Program Manager (“PM”) plays a pivotal role in facilitating and supporting research activities ensuring alignment across multiple projects, stakeholders, and initiatives within the Data Science portfolio at the Irving Institute for Clinical and Translational Research. The incumbent collaborates closely with faculty and staff to coordinate and integrate research activities, optimize program performance, and support the successful execution of institutional research priorities.

The incumbent is responsible for managing program-level planning, resource coordination, and process improvement efforts across the research lifecycle. This position maintains a comprehensive view of interrelated initiatives, identifies dependencies and risks across projects, and drives standardization, scalability, and continuous improvement in research operations.

The Research Program Manager serves as a central point of coordination across the Data Science team, strengthening collaboration, enhancing operational infrastructure, and ensuring research activities are executed efficiently, compliantly, and in alignment with strategic goals.

Responsibilities

Research Operations & Program Management

  • Oversees day-to-day operations for the Data Science team of the Irving Institute, aligning proposed projects with CTSA funding priorities, goals and timelines.
  • Provides central coordination of multidisciplinary teams across the CUIMC research informatics ecosystem including the data, tools & solutions, and infrastructure domains. The PM will ensure connectivity and effective communications with research informatics leaders.
  • Develops meeting presentations and generating reports as well as working with the Irving Institute team to contribute content to websites, develop research informatics marketing materials, and awareness campaigns.
  • Leads in supporting the Data Science Council including scheduling meetings, documentation and meeting notes, coordinating reporting from the research informatics domains and prioritizing urgent items for their review.
  • Develops and contributes to research navigation, guides, checklists, and templates to enable efficient delivery of research informatics services to the research investigator ecosystem at CUIMC.
Scientific Writing, Progress Reporting & Grants

  • Support progress reporting, and grant writing needs for the CTSA grant related to the Data Science team.
  • Serves as subject matter expert and leads faculty teams in preparing grants and manuscripts, offering coaching and strategic advice to enhance competitiveness, while also partnering with staff involved in grant preparation, drafting, editing and coordination amongst collaborators.
  • Organizes and coordinates quality assurance activities across the portfolio of research informatics services.
Strategy & Continuous Improvement

  • Partners with the Irving Institute’s Strategic Management Team on the identification, development, demonstration, and dissemination of all programs and activities.
  • Engages with research informatics communities and industry experts to identify and apply best practices aligned with CUIMC/Irving Institute priorities.
  • Supports program-level process improvement initiatives to enhance operational efficiency, participant experience, and research outcomes.
  • Analyzes performance metrics, stakeholder feedback, and operational needs to identify opportunities for improving research workflows, tools, support services, and overall program effectiveness.
  • Benchmarks research informatics operations and recommends enhancements to support continuous improvement and optimize program…
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