Senior Data Scientist

4 weeks ago


Boston, Massachusetts, United States TechStarsGroup Full time
Job Overview

Our client, a venture-backed company, has developed a cutting-edge system to enhance the analysis and understanding of electronic medical records (EMRs). This system streamlines the review process by automating manual tasks and ensuring data security within the system. It intelligently screens and matches patient data to clinical criteria, improving efficiency and accuracy in patient treatment options.

As a senior data scientist, you'll lead an agile team of ML and software engineering practitioners who collaborate closely with product and clinical scientist teams. You'll work with the latest NLP technologies to invent, implement, test, and release new technologies that push the state of the art in extracting sophisticated semantics from biomedical text sources, including anonymized EMRs.

Key Responsibilities:

  • Design, implement, and deploy software components in a microservice architecture for biomedical information processing
  • Mentor junior engineers
  • Work closely with product, UX, and clinical teams to analyze customer requirements and rapidly implement prototypes introducing new functionality
  • Analyze performance results and convey your analyses to relevant stakeholders

Required Qualifications:

  • 4+ years of industry experience in ML-flavored software engineering
  • Bachelor's or graduate degree in Computer Science or a related field
  • Experience in training, testing, deploying, and performing inference with ML models, preferably with transformer models and for NLP applications
  • Proficiency in Python and in Java (and/or Kotlin/Scala) or C++
  • Experience with designing and implementing microservices
  • Professional experience with Git
  • Experience with relational databases and/or NoSQL systems such as knowledge graphs
  • Excellent communication skills

Preferred Qualifications:

  • Familiarity with AWS
  • Previous experience in computational linguistics
  • Experience with Jira and agile methodologies for software development

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