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Verantos · 1 month ago

Senior Clinical Informaticist

United States

Full-time

Remote

Mid, Senior Level

2+ years exp

Verantos is the global leader in high-validity real-world evidence for life sciences. As a Senior Clinical Informaticist, you will lead efforts in knowledge management, semantic normalization, and data quality to transform clinical data for research purposes, collaborating with various stakeholders to ensure datasets meet clinical expectations.

Artificial Intelligence (AI)Health CarePharmaceutical

Responsibilities

Create and maintain concept groups

Review customer code lists and recommend updates as needed

List and define critical variables for each pragmatic registry

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

Create documentation on how to best use data to generate insights

Collaborate with customers to help them understand how to leverage data to answer research questions

Define disease-area–specific data quality testing processes

Determine how to best capture concepts needed to answer customer research questions and analyze prevalence of concepts for feasibility assessments

Specify annotation projects to capture complex clinical ideas

Qualification

Clinical degreeStandard clinical vocabulariesEHR systems familiaritySemantic mapping expertiseData quality testingOMOP Common Data ModelData analysis toolsAnalytical skillsCommunication skillsProblem-solving skills

Required

Clinical degree (MD, DO, PA, NP, or RN) with at least 2 years of clinical experience

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

Excellent verbal and written communication skills for cross-functional collaboration

Preferred

Advanced training or certification in clinical informatics

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)

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

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

Strong understanding of the hierarchical structure and relationships in standard clinical terminologies

Proficiency in tools for data analysis or transformation (e.g., SQL, Excel, Python, or R)

Prior involvement in projects involving phenotyping or computable cohort definitions

Proven ability to collaborate with technical teams to design and implement repeatable, scalable approaches to knowledge-driven workflows

AI-first mindset, with a focus on leveraging automation to develop scalable, repeatable solutions for clinical data normalization, concept identification, and quality assessment