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# Data Modeler I

- **Company:** Tempus Inc
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Business Logic, Clinical Data Repository, Data Integration, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Performance Monitor
- **Published:** June 9, 2026
- **Apply:** https://www.dice.com/job-detail/a58795ff-df9a-4606-85a6-c092109b139d

## About the Role

* 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-haves:

 * 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).

## Description

* Collaborate with cross-functional teams including medical oncologists, research scientists, and engineers to develop and maintain clinical data models.
 * Translate customer needs and product requests into key concept definitions and business logic for complex models.
 * Facilitate integration of data model into workflows, applications, and data deliveries.
 * Structure and normalize data from a variety of sources, including Tempus curated data, EHR integrations, and lab systems.
 * Develop and maintain knowledge bases for clinical concepts.
 * Create and execute validation plans in conjunction with SMEs for new models and disease types.
 * Proactively monitor and support quality assurance and process improvement initiatives.
 * Monitor performance of production processes and recommend areas for improvement.


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