Welcome to MEDAL! We’re making it easy to share and search patient health records (HIPAA). We help doctors and their staff get off the fax machine and into the modern age at a fraction of the time and cost. Our work lies at the intersection of patient privacy and authorized secondary use of Electronic Health Records (EHR).

MEDAL is hiring a BioMedical Data Scientist to analyze relevant patient health information and public knowledge sources.

In this role, you will:

  • Prepare datasets relevant for health data analysis

  • Recommend instances for human expert review

  • Match personal identifiers using statistical methods

  • Develop analytical methods for administrative and clinical care use cases

  • Research and compare machine learning approaches, methodologies, and datasets 


  • Python or Java

  • Naive Bayes Classifiers (NBC)

  • Domain Specific Languages (DSL) / concept dictionaries

  • Regular expressions (RegEx) and other pattern matching techniques

  • Text indexing, such as ElasticSearch/SOLR/Lucene

  • Data analysis / data science experience

  • Ability to manage and format your datasets is a must

  • Bachelor’s degree in Computer Science or a related degree

Familiarity or Willingness to Learn

  • Deep Learning (or simple Markov models is fine)

  • Relevance (such as Vector Space Modeling)

  • Concept recognition and similarity searches

  • Graph matching problems and methods (structure learning)

Very Nice to Have

  • Knowledge of BioMedical databases and dictionaries

  • Experience with health data

  • Experience with statistics and data visualization (dataviz) tools (matplotlib, MatLab, R)

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