
51 - 200 employees
⚕️ Healthcare Insurance
💊 Pharmaceuticals
🔬 Science
💰 Grant on 2021-06
Healthcare Insurance • Pharmaceuticals • Science
Verantos is a company that provides high-quality real-world data (RWD) and real-world evidence (RWE) solutions for the life sciences industry. Their platform is designed to accelerate clinical development and support market access, medical affairs, pharmacovigilance, and regulatory initiatives using high-validity evidence. Verantos focuses on delivering data with unrivaled richness and reliability, enabling decision-makers in healthcare to understand patient behaviors and predict health outcomes. The company offers products such as the Pragmatic Registry, which collects clinically rich data from patient records to aid in regulatory and reimbursement approvals. Verantos aims to meet increasing demands in the life sciences sector by providing credible and trustworthy evidence at scale.
🔥 3 minutes ago
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51 - 200 employees
⚕️ Healthcare Insurance
💊 Pharmaceuticals
🔬 Science
💰 Grant on 2021-06
Healthcare Insurance • Pharmaceuticals • Science
Verantos is a company that provides high-quality real-world data (RWD) and real-world evidence (RWE) solutions for the life sciences industry. Their platform is designed to accelerate clinical development and support market access, medical affairs, pharmacovigilance, and regulatory initiatives using high-validity evidence. Verantos focuses on delivering data with unrivaled richness and reliability, enabling decision-makers in healthcare to understand patient behaviors and predict health outcomes. The company offers products such as the Pragmatic Registry, which collects clinically rich data from patient records to aid in regulatory and reimbursement approvals. Verantos aims to meet increasing demands in the life sciences sector by providing credible and trustworthy evidence at scale.
• Help shape how clinical data is transformed and made usable for research by leading efforts in knowledge management, semantic normalization, and data quality. • 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. • Design clinical data quality checks to ensure datasets meet clinical expectations. • Create and maintain concept groups. • Review customer code lists and recommend updates as needed. • 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.
• 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 (preferred). • Minimum of 2–3 years of experience in clinical informatics or a closely related role (preferred).
• Flexible work arrangements • Professional development opportunities
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