• Research Associate - Bridges Lab

    Carnegie Mellon University (Pittsburgh, PA)


    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.

    Equal Employment Opportunity Statement

    **Carnegie Mellon University** is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.