Baylor College of Medicine-posted about 1 year ago
Full-time • Mid Level
Remote • Houston, TX
Educational Services

The Senior Scientific Programmer at Baylor College of Medicine will be responsible for designing advanced microscopy and image analysis software to support the life science community. This role involves developing and modifying complex software for imaging data acquisition and analysis, working closely with lab members on computational approaches, and contributing to cutting-edge technologies that enhance human health.

  • Develop and modify complex software for imaging data acquisition and analysis.
  • Maintain and develop in-house scientific software.
  • Develop or modify code for controlling microscope-based image acquisition.
  • Develop or modify code for image analysis for fluorescence microscopy.
  • Create new workflow for a process.
  • Adapt existing algorithm to a workflow.
  • Modify a workflow for bug fixing, adding or generalizing features.
  • Refactor code for simplicity and speed.
  • Translate code from one language to another.
  • Develop graphical user interface.
  • Bachelor's degree in Management Information Systems, Computer Science, or a related field (or four years of related experience may substitute for degree requirement).
  • Three years of relevant experience.
  • Masters in Electrical Engineering, Computer Engineering, Math, Physics, Biology or a related field (STEM and quantitative fields in general).
  • Experience with MATLAB and/or Python programming (or other object-oriented programming languages such as C++).
  • Experience in image processing and image analysis.
  • Experience in collaborative coding and version control.
  • Master's degree and one year of experience or PhD.
  • Experience with relational (e.g. MySQL) or non-relational (MongoDB) databasing.
  • Signal processing (filtering and feature detection).
  • Machine learning.
  • Computer vision (object detection and feature extraction).
  • Hardware integration (e.g. Serial port communication, microcontrollers, closed-loop control).
  • Fluorescence Microscopy.
  • GPU computation (CUDA, Tensorflow/PyTorch).
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