Broad Institute-posted about 1 year ago
Full-time • Entry Level
Cambridge, MA
Professional, Scientific, and Technical Services

The Postdoctoral Associate position in Computational Research and Development at the Broad Clinical Labs focuses on leveraging AI to solve complex computational problems in healthcare. The role involves developing innovative algorithms and learning-based approaches to analyze and interpret large-scale genomic and clinical datasets, contributing to advancements in biomedical research and clinical applications.

  • Develop novel AI methods to address major challenges in biomedical research and clinical applications.
  • Analyze and interpret large-scale multi-modal datasets to unlock new biological insights.
  • Design, implement, and optimize deep learning models for diverse data types, including sequence, image, and graph data modalities.
  • Develop robust and scalable benchmarks to evaluate model performance.
  • Design and compile large-scale training datasets.
  • Build, test, release, and maintain high-quality open-source software tools and models.
  • Collaborate closely with molecular and clinical scientists.
  • Publish and present your research findings in leading journals and conferences.
  • Ph.D. degree in computer science, mathematics, statistics, computational biology, or a related discipline.
  • Hands-on expertise in deep learning.
  • Proficiency in data modeling, visualization, and debugging at scale.
  • Strong software engineering skills.
  • A solid track record of research publications.
  • Deep interest in healthcare and biological research.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service