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Research Associate - Bridges Lab

Carnegie Mellon University
United States, Pennsylvania, Pittsburgh
5000 Forbes Avenue (Show on map)
Oct 08, 2025

Carnegie Mellon University: Mellon College of Science: Biological Sciences

Location

Pittsburgh, PA

Open Date

Oct 07, 2025


Description

The Bridges Lab in the Department of Biological Sciences at Carnegie Mellon University is seeking a Research Associate to join our interdisciplinary team. We welcome applications from candidates at a range of training levels - including recent graduates with a Bachelor's or Master's degree as well as those with a Doctoral degree looking for a senior scientist role. Our lab investigates the dynamic interactions between bacteria and their environments, with a focus on microbial signal transduction, biofilm formation, and spatial organization using cutting-edge imaging approaches. Learn more about our work at https://labs.bio.cmu.edu/bridges/.


Core Responsibilities:



  • Perform microbiology and molecular biology experiments, including bacterial genetics and microbial growth assays.
  • Conduct advanced microscopy and imaging studies; contribute to image analysis and data interpretation.
  • Use computational tools and software packages to collect, process, and analyze research data.
  • Compile and maintain detailed records; summarize data for analysis, presentation, or publication.
  • Collaborate with team members across experimental and computational disciplines.
  • Participate in lab meetings and contribute to manuscripts, presentations, and reports.
  • Maintain a lab job.


Qualifications


  • Bachelor's, Master's, or Doctoral degree in Biological Sciences, Microbiology, Bioengineering, or related field. Responsibilities will be tailored to background.
  • 1-3 years of relevant laboratory research experience.
  • Strong analytical, problem-solving, reasoning, and communication skills.
  • Experience in one or more of the following areas is highly valued:

    • Microbiology (microbial ecology, bacterial genetics, host-microbe interactions).
    • Microscopy (fluorescence imaging, image analysis).
    • Computational biology/bioinformatics (large dataset handling, image analysis tools).


  • Programming experience in Python, MATLAB, or similar is a plus.
  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.


Application Instructions

Applications, including a cover letter and a curriculum vitae indicating your interest and relevant training should be submitted electronically via Interfolio.

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