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Staff Associate I

Columbia University
United States, New York, New York
535 West 116th Street (Show on map)
Mar 28, 2025

The Department of Pathology and Cell Biology is looking for a Staff Associate to work with omic data in the laboratory of Dr. Andrew Teich. The successful applicant will work on projects related to Alzheimer's disease and related dementias. The applicant is expected to work semi-independently and report to Dr. Teich weekly. The applicant will work with other lab members, and should be able to collaborate with others.

At CUIMC, we stand together because diverse experiences, perspective, and values enrich every dimension of our work. Join our team and see how your unique skills and experiences can create a real impact by changing lives.

Job Function:



  • Analyzing data - 45%
  • Preparing graphs and tables - 20%
  • Maintaining laboratory computer systems and managing data files - 10%
  • Presenting data - 10%
  • Preparing manuscripts - 10%
  • Other duties as assigned- 5%



Lab Mission/Purpose:

The Teich laboratory researches neurodegenerative diseases of aging using generated data from human tissues and biofluids, as well as tissue models. We are primarily interested in synaptic dysfuntion and the immune response in Alzheimer's disease.

Minimum Skills Required:




  • Proficiencey with the R programming language; prior experience working with omic datasets.




Minimum Education Requirements:




  • Bachelor's degree in scientific field.
  • Minimum of 2 years of laboratory research experience preferred after obtaining Bachelor's degree.



Preferred Qualifications:




  • Master's degree
  • Prior publications with omic data

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

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.

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