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Associate Software Engineer

Posted on 16 December 2024

Job type: Research Institute/ NFP

Location: Cambridge, Massachusetts

Impact the discovery of new disease therapies at the Cimini laboratory (Imaging Platform)
Join our vibrant, world-class, non-profit biomedical research center, the Broad Institute!

Our lab’s mission is to uncover biological knowledge by developing methods to mine the rich information present in images. We are best known for CellProfiler, used by scientists to quantify biological images and have recently launched Piximi, an images-to-discovery tool allowing users to train deep learning models in the browser. CellProfiler helped discover potential therapeutics for infectious diseases and cancers. We love working as a team towards scientific goals: discovering the inner workings of biological systems and influencing patient treatment. We are conscientious and enjoy a professional, no-fuss environment, and are passionate about what we do while frowning on workaholism.

In your cover letter, please describe your overall career interests, why this work would suit you, and what you would aim to learn.

Our laboratory co-leads the Center for Open Bioimage Analysis, funded by the National Institutes of Health (NIH). Join our cross-functional, agile team spanning biology, computer science, and software engineering and help write and maintain user-friendly and open-source applications to process and analyze biological images.

  • You are experienced with contemporary programming, testing, and debugging techniques.
  • You have working experience with modern Python development paradigms, libraries, and tools.
  • You have working experience in scientific programming.
  • You have an interest in optimizing and scaling existing systems.
  • You have outstanding personal initiative and communication skills; you will extensively collaborate with other software engineers as well as biologists.

Requirements:
– BS/BA in Computer Science, Bioinformatics, Mathematics, Physics, or a related degree
– 0-2 years of software engineering experience, preferably in a scientific setting

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