Senior Data Modeler I

Tempus AI · Vertical AI · Chicago, IL +2

This role focuses on developing and maintaining clinical data models for Tempus AI, a healthcare company leveraging real-world evidence to provide actionable insights for physicians. The Senior Data Modeler will collaborate with cross-functional teams, translate needs into business logic, integrate data models, and ensure data quality and process improvement.

What you'd actually do

  1. Collaborate with cross-functional teams including medical oncologists, research scientists, and engineers to develop and maintain clinical data models.
  2. Translate customer needs and product requests into key concept definitions and business logic for complex models.
  3. Facilitate integration of data model into workflows, applications, and data deliveries.
  4. Structure and normalize data from a variety of sources, including Tempus curated data, EHR integrations, and lab systems.
  5. Develop and maintain knowledge bases for clinical concepts.

Skills

Required

  • 5+ years of oncology data modeling experience
  • Experience working with real world data from various sources (e.g., curation workflows, EHRs, lab systems, claims, research datasets)
  • Experience working with modern ELT tools such as DBT to maintain high volume, high velocity data warehouses
  • Experience working with standard medical terminologies (e.g., SNOMED CT, RxNorm, LOINC, ICD-9/10)

Nice to have

  • Clinical background (MD/DO, PharmD, PA, NP, RN, etc.)
  • Familiarity with next-generation sequencing data
  • Experience with real world data analysis in Python or R
  • Participation in professional organizations (e.g., OHDSI, AMIA)