Student Research Worker - New York, United States - Columbia University

Mark Lane

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Mark Lane

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Description

Job Type:
Short Term Casual


  • Bargaining Unit:
  • Regular/Temporary: Temporary
  • End Date if Temporary:
Hours Per Week: 10


  • Standard Work Schedule:
  • Building:
  • Salary Range: $22$22
  • 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


There is a possibility for additional hours (limit is 20 hours per week, dependent on other roles held within Columbia University) depending on project needs.


Responsibilities:


Responsibilities will include but are not limited to:

  • conducting statistical review of data sets and data analysis;
- supporting survey preparation and implementation;
- conducting data cleaning, preparation and building statistical models, preferably using SAS or R;
- helping with data management;
- assisting with literature reviews, grant, manuscript, and presentation preparation;
- participating in research-related meetings;
- performing other related duties as assigned.

This position is grant funded and continued employment will be contingent upon the grant.

Minimum Qualifications

  • Bachelor's diploma or equivalent and a currently enrolled student at Columbia University.
Preferred Qualifications

  • Knowledge of/experience working in biostatistics;
  • Proficiency with R, especially R functions, loops, and iterations;
  • Experience with research projects
  • Strong attention to detail and organizational skills;
  • Possessing of data management, analytical and writing skills;
  • Solid experience with data management.
  • A biostatistics background and/or experience with healthrelated research is highly preferred. A master's degree in a related field (complete or in progress) is highly preferred. Working knowledge of social network analysis packages such as igraph, Statnet, and ERGM modeling is a plus.
Equal Opportunity Employer / Disability / Veteran

Columbia University is committed to the hiring of qualified local residents.

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