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Senior Research Administrator
  • Job Number: 25644
  • Functional Area: Grants Administration/Management
  • Department: Comp Sci & Artificial Intel Lab HQ
  • School Area: Schwarzman College of Computing
  • Pay Range Minimum: $82,000
  • Pay Range Maximum: $105,100
  • Employment Type: Full-Time
  • Employment Category: Exempt
  • Visa Sponsorship Available: No
  • Schedule:
  • Pay Grade: 8


Posting Description

SENIOR RESEARCH ADMINISTRATOR, Computer Science and Artificial Intelligence Lab, will serve as a member of CSAIL Headquarters; perform comprehensive pre- and post-award financial research management of the Laboratory’s sponsored activities; and float between per and post award activities based on the operational needs of the Lab as determined by the Senior Manager – Research Administration.

The full job description is available, here: https://www.dropbox.com/scl/fi/81biuigj00x3icm7vahrt/CSAIL-Sen-Res-Admin-Post-Award-Pre-Float-Job-Description-Jan-2026.docx?rlkey=ccmmf291nlldp243u57mz2ym6&st=2clj0xx2&dl=0  


 

 

Job Requirements

REQUIRED: Bachelor's degree and a minimum of four years of experience in accounting or finance with decision-making responsibility or in a non-profit research administrative function; experience with Federal contracts terms and conditions, administrative rules, cost principals and regulations under OMB guidelines; experience working in both pre- and post-award research administration, as well as sponsored programs; knowledge of budgeting theory and practices including reporting requirements and procedures related to federal, state and other related grants, cost accounting, government accounting and auditing; knowledge of grants, contracts, and applications and familiarity with electronic research administration requirements from a variety of sponsoring agencies, federal, state, local, etc; knowledge of budget preparation and administration, financial record keeping and reporting; proficiency in the analysis, interpretation, and evaluation of contractual terminology (pre- and post- award); financial management/forecasting skills and the ability to interpret financial data; ability to deal with confidential information and/or issues using discretion and judgment; ability to multi-task, prioritize, work with flexibility, and simultaneously manage numerous awards with varying degrees of complexity while meeting concurrent deadlines; ability to operate effectively in a fast-paced constantly changing environment; strong interpersonal skills and customer service orientation including the ability to interact, cultivate trust and build rapport with a variety of constituents including departmental faculty, staff and sponsors; be proficient in the use of Microsoft Excel, Word, PowerPoint, and the internet as a tool for information research; knowledge of enterprise financial systems, grants management tools and multidimensional databases; and very strong organizational, analytical and problem solving skills.

4/15/2026