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Research Staff Assistant

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New York, New York

5 Star Employer Ranking

Research Staff Assistant

Position Summary

The Gaublomme Lab, under the Department of Biological Sciences. creates and applies technologies to study biological cells and the biomolecular interactions that drive their intra- and intercellular signaling. Primary areas of application include immunology, cancer, and neurodegenerative diseases. Under the direction of the principal investigator, the incumbent will provide support for the lab using genomics, proteomics, molecular biology and computational approaches to systematically dissect pathway behavior in mammalian cells.

This role is contingent on continuous funding.

Responsibilities

  • Using advanced molecular and cellular methods such as microscopy (spinning disc confocal), cloning, and lentiviral preparations.
  • Maintain lab stock and provide general lab support as needed.
  • Manage chemical inventory and safety records.
  • Assist with the orientation and training of new staff or students on lab procedures and techniques.
  • Set up experiments for the P.I. and other members of the lab.
  • Perform related duties & responsibilities as assigned/requested.

Minimum Qualifications

  • Bachelor's Degree required in a scientific discipline.
  • Minimum 6 months of experience in a research environment.

Preferred Qualifications

  • Experience in, or knowledge of, basic techniques in any of the following fields: molecular biology, cell biology, genomics, engineering, physics, chemistry, or related fields.
  • Experience with immunofluorescence, microscopy, PCR, cloning, and Python.

Other Requirements

  • Excellent communication, organizational, and interpersonal skills.
  • Attention to detail, research, critical thinking, analytical, and problem-solving skills.
  • Ability to maintain high confidentiality and professionalism.
  • Strong multi-tasking, prioritization, and organization skills.
  • Work well in an interactive team environment.
  • Ability to maintain detailed records of experiments and outcomes.
  • General computer skills and ability to quickly master computer programs, databases, and scientific applications.
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