Verantos
Senior Clinical Informaticist
Remote (U.S · Senior
Sponsorship not specifiedDetected 148 days ago
PythonSQLData AnalysisData ScienceExcelEHR/EMRICD-10Clinical TrialsResearchCommunicationProblem Solving
About the role
- Verantos (https://verantos.com) is the global leader in high-validity real-world evidence (RWE) for life sciences.
- By incorporating robust clinical narrative data, artificial intelligence (AI) technology, and measured validity, Verantos is the first company to generate research-grade evidence at scale across therapeutic areas.
- Today, some of the largest biopharma companies in the world are Verantos customers.
Responsibilities
- Create and maintain concept groups.
- Create documentation on how to best use data to generate insights.
- Your work will directly support high-impact research by ensuring that the right concepts are captured, standardized, and accessible across diverse data sources.
Requirements
- Minimum of 2 years of clinical experience required.
- Experience working with standard clinical vocabularies such as SNOMED CT, LOINC, RxNorm, ICD-10-CM, CPT, or HCPCS, including an understanding of their structure and use in representing clinical data.
- Familiarity with EHR systems and common clinical documentation practices.
- Strong understanding of data captured in structured EHRs, unstructured EHRs (e.g., clinical notes), and claims datasets, including which types of concepts each source best captures.
- Minimum of 2-3 years of experience in clinical informatics or a closely related role.
- Demonstrated expertise in semantic mapping of source clinical terms to standard vocabularies (e.g., SNOMED CT, LOINC, RxNorm, ICD-10-CM, CPT, HCPCS).
- Experience defining and reviewing data quality tests on clinical datasets.
- Experience with the OMOP Common Data Model.
- Proficiency with terminology mapping tools.
- Familiarity or experience with AI-based extraction from unstructured clinical notes.
- Required
- Excellent verbal and written communication skills for cross-functional collaboration.
- Preferred
- Advanced training or certification in clinical informatics.
- Demonstrated analytical and problem-solving skills applied to complex clinical data challenges, such as resolving semantic ambiguity, aligning heterogeneous data sources, or developing scalable mapping solutions.
Nice to have
- MD or DO degree required
- completion of an accredited residency program strongly preferred.
Benefits
- Leveraging data science, AI, and advanced data sources such as electronic health records (EHRs), the platform supports complex clinical studies across multiple therapeutic areas.
- This is an opportunity to work at the intersection of clinical insight and technical implementation, transforming complex healthcare data into research-grade evidence that advances decision-making at scale.
- Map claims data and health system data to standard concepts in the OMOP Common Data Model (CDM).
- Semantically normalize CDM-converted data coming from multiple different health systems and map high priority unmapped concepts
Company info
- Collaborate with customers to help them understand how to leverage data to answer research questions.
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This listing is sourced directly from Verantos's careers page and normalized into a canonical job model.