Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms, fuel innovation and create initiatives by bringing to bear an understanding of biopharmaceutical, healthcare, and technology ecosystems; Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment; Facilitate model deployment to production and establish MLOps practices, including monitoring and maintenance of ML models; Be a technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion
Requirements:
Doctorate degree; Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Bioscience’s data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing; Strong software development (preferably, Python) and experience working with libraries and packages related to data manipulation, statistical analysis, visualization, and machine learning algorithms and deep learning framework
Text:
Sr. Machine Learning Engineer Collaborate with other ML engineers, data scientists and research scientists to identify appropriate ML models and algorithms, fuel innovation and create initiatives by bringing to bear an understanding of biopharmaceutical, healthcare, and technology ecosystems; Facilitate ML & Data engineering efforts by architecting and guiding the implementation of data and ML pipelines for development and deployment; Facilitate model deployment to production and establish MLOps practices, including monitoring and maintenance of ML models; Be a technical guide and career development mentor to junior machine learning engineers and data scientists in a formal or matrixed fashion Doctorate degree; Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Bioscience’s data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing; Strong software development (preferably, Python) and experience working with libraries and packages related to data manipulation, statistical analysis, visualization, and machine learning algorithms and deep learning framework
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