Mednition Inc.

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Clinical Data Scientist (AI Clinical Decision Support)

Mednition designs clinical decision support services for physicians and nurses to improve patient safety and help drive down costs for healthcare delivery. We analyze medical records and translate this information into high accuracy clinical predictions. We are looking to expand our data science team with curious individuals. This position is big data focused, requires strong analytical skills, creativity, and a passion for improving healthcare.

Position Focus
  • Provide support for data integrity and data validation in the production of data that drives our machine learning pipeline
  • Improve clinical NLP for feature extraction and mapping to our medical ontology
  • Assess the accuracy of our de-identification software to HIPAA safe harbor requirements
  • Analyze machine learning experiments and provide reports on clinical validity of medical features, data extraction, and ML predictions
  • Utilize advanced querying techniques with thorough knowledge and understanding of data pipeline in order to identify and analyze gaps in information extraction
General Skills
  • Independent thinker
  • Strong ability to interpret strategy goals into actionable analytic projects and tasks
  • Juggle multiple priorities and continuously adjust short term plans to align with team objectives
  • Quality focused – build solutions which can be tested and scale
  • Team focused – thrive on working in a team environment to deliver results that are embraced by diverse teams with deep domain expertise (eg. data scientists and clinicians)
  • Curiosity – eagerness explore data and its transformation in a machine learning pipeline, and understand the issues of big data processing
  • Passion – deeply care about helping others and a strong desire to build solutions that improve patient care
Experience

Required:

  • Bachelor’s degree in biology, bioinformatics, statistics, math, public health, or other related field
  • 1 year Python programing experience
  • 1 year of data-based decision making or quantitative analysis
  • Basic understanding of statistics for model evaluation and sampling
  • Experience with source code management framework
 

Preferred:

  • Masters in Public Health/Nurse Practitioner/Informatics
  • Understand medical ontologies (SNOMED, RxNorm, LOINC, ICD-10, etc.)
  • Experience in text processing and/or information extraction/retrieval
  • SQL programming and Google BigQuery
  • MongoDB query language skills

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