Clinical Terminologist

Tempus AI

New York (NY)

On-site

USD 67,000 - 95,000

Full time

14 days+

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Job summary

Tempus AI in New York is seeking a skilled ontology engineer to standardize clinical concepts and integrate Terminology services across the company. You will collaborate with cross-functional teams to maintain and extend modeled ontology solutions for real-world healthcare data.

Your work includes adjudicating and ensuring quality control of new clinical concepts, monitoring production processes, and driving process improvements across EHRs, lab systems, and claims data.

Qualifications

  • 3+ years working with standard medical terminologies.
  • Familiarity with UMLS NCIm.
  • Experience developing and maintaining clinical ontologic models.
  • Experience with real world data from various sources (EHRs, lab systems, claims).
  • Experience working with ELT tools to maintain high volume, high velocity data through-put pipelines.
  • Proficiency in SQL and Python; familiarity with Semantic Web Technologies (RDF, OWL, SPARQL).
  • Awareness of healthcare information standards such as HL7 and FHIR.

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 various sources, including Tempus curated data, EHR integrations, and lab systems.
  • Manage the adjudication of, and quality control pipelines for, new clinical concepts and domains.
  • Proactively monitor and support quality assurance and process improvement initiatives.
  • Monitor performance of production processes and recommend areas for improvement.

Skills

Medical terminologies
UMLS NCIm
Clinical ontologies
Real-world data
SQL
Python
Semantic Web (RDF OWL SPARQL)
HL7 FHIR

Tools

RDF
OWL
SPARQL

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

We now have more healthcare data than ever before, but providers often do not have the systems or expertise to make sense of all of this valuable data. At Tempus, we are building the infrastructure to modernize and enhance cancer treatment. We are on a mission to connect an entire ecosystem to redefine how data is used to improve patient outcomes.

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.
  • Proactively monitor and support quality assurance and process improvement initiatives.
  • Monitor performance of production processes and recommend areas for improvement.
Qualifications
  • 3+ years working with standard medical terminologies (e.g., ICD-CM-9/10, SNOMED CT, RxNorm, LOINC, CPT).
  • Working knowledge of UMLS and familiarity with NCIm.
  • Experience developing and maintaining clinical ontologic models.
  • Experience working with real world data from various sources (e.g., EHRs, lab systems, claims, and abstraction or curation).
  • Experience working with ELT tools to maintain high volume, high velocity data through-put pipelines.
  • Familiarity with SQL, Python, and Semantic Web Technologies (RDF, OWL, SPARQL)
  • Awareness of healthcare information standards, such as HL7 and FHIR for data exchange and interoperability.
Nice-to-haves
  • Clinical background (PA, NP, RN, etc.).
  • Experience with real world data analysis in Python or sql.
  • Participation in professional organizations (e.g., OHDSI, AMIA).
  • Awareness of OMOP Common Data Model

Pay Range: $67,000 - $95,000 USD

The expected salary range may vary for other locations. Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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