Note: The job is a remote job and is open to candidates in USA. 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, collaborating with various stakeholders to ensure clinical data is transformed into usable research-grade evidence.
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
Skills
- MD or DO degree required; completion of an accredited residency program strongly preferred
- 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
- Excellent verbal and written communication skills for cross-functional collaboration
- 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
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