Senior Clinical Informaticist - Remote

Overview

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.

The Verantos Evidence Platform integrates heterogeneous real-world data sources and generates evidence with the accuracy required for market access, health economics and outcomes research (HEOR), medical affairs, and regulatory use. Leveraging data science, AI, and advanced data sources such as electronic health records (EHRs), the platform supports complex clinical studies across multiple therapeutic areas. Today, some of the largest biopharma companies in the world are Verantos customers.

As a Senior Clinical Informaticist, you will help shape how clinical data is transformed and made usable for research by leading efforts in knowledge management, semantic normalization, and data quality. You will collaborate with clinicians, scientists, data scientists, product managers, and engineers to define scalable approaches for mapping clinical concepts, identify where and how key concepts can be captured, develop concept lists for cohort creation, and design clinical data quality checks to ensure datasets meet clinical expectations.

Your work will directly support high-impact research by ensuring that the right concepts are captured, standardized, and accessible across diverse data sources. 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.

In Short

• Lead efforts in knowledge management and semantic normalization of clinical data.
• Collaborate with various teams to define scalable approaches for clinical concept mapping.
• Create and maintain concept groups and review customer code lists.
• Map claims data to standard concepts in the OMOP Common Data Model (CDM).
• Develop documentation for data usability and support customer collaboration.
• Define disease-area specific data quality testing processes.
• Identify and capture complex clinical concepts for research.
• Work with clinical vocabularies such as SNOMED CT and LOINC.
• Ensure datasets meet clinical expectations through quality checks.
• Transform healthcare data into research-grade evidence.

Requirements

• Clinical degree (MD, DO, PA, NP, or RN) with at least 2 years of clinical experience.
• Experience with standard clinical vocabularies and EHR systems.
• Strong understanding of data captured in structured and unstructured EHRs.
• Excellent verbal and written communication skills.
• Advanced training or certification in clinical informatics preferred.
• Experience in semantic mapping and data quality testing.
• Proficiency in data analysis tools (e.g., SQL, Excel, Python, R).
• AI-first mindset with a focus on automation for data normalization.

Benefits

• Work with leading biopharma companies.
• Opportunity to shape clinical data usability for research.
• Collaborative work environment with diverse teams.
• Engagement in high-impact research projects.
• Develop scalable solutions in clinical informatics.