Senior Machine Learning Scientist
MGH & BWH Center for Clinical Data Science
Boston
8d ago

Machine learning is on the verge of transforming healthcare, and the MGH & BWH Center for Clinical Data Science (CCDS) is at the forefront of this revolution.

We are a fast-paced startup embedded within two of the nation’s leading research hospitals. W orking closely with clinicians to solve critical problems in patient care, we develop solutions that are deployed in our hospitals and then commercialized to maximize the benefit to patients worldwide.

Backed by industry partners like Nvidia and GE Healthcare, we leverage petabytes of healthcare data, an on-prem GPU cluster, and a top-

tier team from industry and academia to execute on our mission.

The ML Team trains models to improve patient care and develops tooling to streamline this process. Typical projects include :

Classification to expedite treatment decisions, prioritize worklists, and improve diagnostic accuracy Segmentation and localization to improve the accuracy and speed of abnormality detection Volumetric assessment of pathologies, reducing clinician time per study thereby freeing them to focus on higher-

value tasks Time series analysis to predict outcomes based on streaming patient data

  • Natural language processing to extract knowledge from unstructured clinical data
  • Senior Machine Learning Scientists spend their time :

  • Developing models which will be deployed in the hospital to positively impact patient care and ultimately commercialized
  • Engaging with clinicians at MGH & BWH to solve real-world clinical problems
  • Conducting research to improve the efficacy of future model development within the center
  • Publishing the results of their work at top-tier machine learning and clinical venues
  • You may be a fit if you're :

  • Looking to continue training machine learning models and deploying them in production
  • Interested in providing technical guidance to junior team members as they grow and learn to balance the tradeoffs involved in shipping product
  • Excited by the prospect of saving lives rather than serving ads
  • One who enjoys programming in Python but also acknowledge its warts
  • Highly comfortable not only training a neural network but also debugging it when it ultimately fails to converge
  • Cognizant of the fact that not every model needs to be a neural network
  • A vocal advocate for Bayesian nonparametrics, calibrated models, or other interesting ML approaches (even if those neural network fanatics keep ignoring you)
  • A proponent of reproducible workflows
  • Looking to work with a fantastic team and learn a few new skills
  • Apply
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