Informatics Scientist

5 days ago


Cambridge, Massachusetts, United States TRINETX INC Full time
Senior Data Expert - Informatics Team

TriNetX is seeking a highly skilled Senior Data Expert to join our Informatics team. As a key member of our team, you will be responsible for applying advanced statistical and AI/ML methods to automate the mapping of clinical concepts to reference standards, prototyping tools to enable the use of these methods, and participating in creating and maintaining mappings of clinical concepts to reference terminologies.

Key Responsibilities:
  • Apply advanced statistical and AI/ML methods to automate the mapping of clinical concepts to reference standards
  • Prototype tools to enable the use of these methods
  • Participate in creating and maintaining mappings of clinical concepts to reference terminologies
  • Apply advanced AI/ML methods to extract high-value data elements from the text of clinical notes
  • Develop definitions of data quality metrics and prototype tools to collect the necessary data to quantify data quality and visualize the results and trends over time
  • Collaborate with cross-functional teams to implement scalable data solutions
Requirements:
  • Master's degree or equivalent in a relevant scientific or professional field
  • At least 4 years of relevant experience
  • Expertise with patient clinical data
  • Experience in managing and analyzing large data sets
  • Experience with statistical models
  • Advanced expertise with AI and LLMs
  • Familiarity with clinical terminologies (e.g., ICD, CPT, RxNorm, LOINC, etc.)
  • Previous experience with mapping concepts to standard terminology
  • Experience with SQL and relational databases
  • Familiarity with cloud data platforms (e.g., Snowflake, Databricks)
  • Fluency in English
Bonus Points:
  • Experience with scientific research publications
  • Familiarity with data modeling using UML diagrams

TriNetX is an Equal Opportunity Employer. We are committed to creating a diverse and inclusive work environment. If you are passionate about data and healthcare, and have the skills and experience to excel in this role, we encourage you to apply.



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