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My Pittsburgh biotech client is expanding and seeks a ML Scientist to enhance drug discovery and development efforts.  The ideal candidate will take on the following tasks:

  • Analyze biological datasets by creating and implementing machine learning models.
  • Implement metrics to verify model and algorithm effectiveness.
  • Automate model training, testing, and deployment.
  • Develop analytical tools for the management of pre-clinical and clinical datasets.
  • Prepare reports, publications, and presentations for internal and external partners.
  • Keep up with emerging trends in ML, DL, and NLP.

The ideal candidate will possess the following qualities:

  • PhD and 2+ years applying ML algorithms to high-dimensional datasets.
  • Working knowledge of bioinformatics and biological concepts, as well as ML, DL, and NLP.
  • Proficient in Python/R scripting.
  • Expertise in ML/DL frameworks like Pytorch, TensorFlow, and others.
  • Demonstrated ability to write high-quality, production-ready code.
  • Experience with GIT, AWS, SQL and scRNAseq is desired.
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