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Tempus

AI-driven platform for medical data insights

Clinical Terminologist

Data ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 3 years of experience working with standard medical terminologies, such as ICD-CM-9/10, SNOMED CT, RxNorm, LOINC, and CPT.
  • Working knowledge of UMLS and familiarity with NCIm.
  • Experience developing and maintaining clinical ontologic models.
  • Experience working with real-world data from sources such as EHRs, lab systems, claims, and abstraction or curation.
  • Experience working with ELT tools to maintain high-volume, high-velocity data-throughput pipelines.
  • Familiarity with SQL, Python, and Semantic Web technologies (RDF, OWL, and SPARQL).
  • Awareness of healthcare information standards, such as HL7 and FHIR, for data exchange and interoperability.

Responsibilities

  • Collaborate with cross-functional teams to manage and update terminology services made available across the company.
  • Maintain and extend modeled ontology solutions used throughout the company.
  • Standardize clinical concepts from a variety of sources, including Tempus-curated data, EHR integrations, and lab systems.
  • Manage the adjudication of and quality-control pipelines for new clinical concepts and domains.
  • Monitor and support quality assurance and process-improvement initiatives.
  • Monitor production-process performance and recommend areas for improvement.

Desired Qualifications

  • Clinical background, such as PA, NP, or RN.
  • Experience with real-world data analysis in Python or SQL.
  • Participation in professional organizations, such as OHDSI or AMIA.
  • Awareness of the OMOP Common Data Model.

About the Company

Tempus

AI-driven platform for medical data insights

Tempus uses AI and data analytics to improve patient care and accelerate drug development in healthcare. Its proprietary platform analyzes medical data and images to provide actionable insights for physicians and to identify gaps in care, while helping pharma and biotech companies discover targets and evaluate treatments. Cancer research is a focus, including a pan-cancer organoid platform for precision medicine and a liquid biopsy assay to profile circulating tumor DNA. Revenue comes from providing platform access and insights to healthcare providers and industry partners, with the goal of advancing personalized medicine and speeding cancer research.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Chicago, IL
Founded
2015

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