Data Manager (Research Institute)
Research Institute of the McGill University Health Centre
Montréal - Centre ville, CA
6d ago

Job Description


The Research Institute of the McGill University Health Centre (RI-MUHC) is a world-renowned biomedical and hospital research centre.

Located in Montreal, Quebec, the Institute is the research arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University.

The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé (FRQS).

Position summary

Stenoa is a machine-learning startup striving to make fundamental breakthroughs in real-time video analysis for guiding the diagnosis and treatment of cardiovascular disease, the leading cause of death globally.

Our research and development team has access to a very large dataset of cardiac catherization videos. With all this data, the Data Science team is looking for talented engineers to help us manage the annotation and analysis of the videos and the associated medical records.

If you are data curious, excited about designing data pipelines, and motivated by having impact on the clinical practice, we want to hear from you.

General Duties

  • Upload and organize videos on an online annotation platform. Export labels and annotations continuously following the progress of the annotations team.
  • Implement techniques for augmenting the database of annotations produced by trained medical specialists.
  • Organize the videos in a HDF5 database.
  • Export annotations the labelling software to the HDF5 database.
  • Develop technical documentation for the database. Lock a complete version of the database for descriptive quantitative analysis.
  • Design and implement a scalable infrastructure for expanding the HDF5 database to new sites and patients.
  • Website of the organization

    Education / Experience

  • Minimum BSc in computer science, software engineering or a related scientific discipline.
  • Fluency in Python and experience with HDF5 databases.
  • Ability to perform summary statistical analysis of texts and database object attributes.
  • Ability to write scripts to process json, csv and plain text files.
  • An inquisitive nature in diving into data inconsistencies to pinpoint issues
  • Ability to operate in a multidisciplinary team of physicians and computer scientists.
  • Capable of thriving in a collaborative environment involving different stakeholders and key opinion leaders.
  • Demonstrated ability of working on projects to successful completion involving a wide variety of technologies and systems.
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