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.

Responsibilities

Knowledge management

• Create and maintain concept groups.
• Review customer code lists and recommend updates as needed.
• List and define critical variables for each pragmatic registry.

Semantic normalization

• 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

Data usability

• 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.

Data Quality

• Define disease-area–specific data quality testing processes.

Concept Identification

• 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.

Qualifications

Required

• 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.

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.

Overview

Verantos (https://verantos.com) is a market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use. The Verantos RWE platform leverages data science and artificial intelligence, along with advanced data sources such as electronic health records (EHR), to generate RWE capable of supporting complex clinical studies. Some of the largest biopharma companies in the world are Verantos customers.

We use a heterogeneous tech stack on AWS with data processing, artificial intelligence, workflow, and analytic components.

Job Description

As a Clinical annotator at Verantos, you will be instrumental in annotating medical documents including details on medical conditions, medications, laboratory tests or questionnaires for real-world evidence projects. You will focus on reviewing the medical notes for its accuracy and completeness.

Responsibilities

• Annotate medical documents using annotation tools.
• Review medical documents for their completeness.
• Identify and report any protected health information in the annotated medical documents to maintain patient privacy.
• Manage specialized annotation requests and tasks with changing guidelines and tight deadlines.
• Assess your metrics to boost and improve productivity.
• Report and document any issues with annotation tools and annotated documents to the development team when necessary.
• Provide feedback for improvements to the existing annotation tool to increase annotation throughput and quality.
• Contribute to the enhancement of workflow processes.

Qualifications

• Bachelor's or above in pharmacy, nursing, medicine, or social work and at least a year of clinical experience in the field.
• At least 3 years of work experience as a medical annotator.
• Ability to work on multiple projects in a fast-paced environment 
• Demonstrate flexibility, initiative, professionalism, and the ability to work under pressure with minimal supervision.  

Why Verantos?

At Verantos, we are pioneering technologies that power high-validity RWE. High-validity RWE helps understand how patient characteristics and behaviors affect health outcomes – helping to predict the progression of a disease, a patient’s responses to a therapy, or the risk of adverse events. Come and join a team at the intersection of cutting-edge technology, complex data, and healthcare research.

We Offer:

• A competitive salary that aligns with your expertise and experience.
• Comprehensive medical benefits.
• A healthy work-life balance.
• Collaborate with healthcare technology visionaries.

Overview

Located in California’s Silicon Valley, Verantos is the global leader in high-validity real-world evidence at scale. By applying artificial intelligence to the complete patient record, Verantos enables life sciences organizations to generate high-validity evidence across therapeutic areas with measured accuracy, completeness, and traceability. Credible evidence accelerates clinical development, market access, medical affairs, pharmacovigilance, and regulatory initiatives.

Verantos believes that advanced RWE requires a group of dedicated and highly-trained professionals who are specialists in the field. Our team consists of physicians, data scientists, clinical researchers and engineers with a deep knowledge of, and extensive experience in, protocol development, health system engagement, electronic health record integration, de-identification, artificial intelligence, data enrichment, study implementation and validity assessment. In addition, we have vast experience within the healthcare ecosystem, including pharma, payer, provider, and regulatory.

Position Scope and Location 

You will work on advanced RWD/RWE projects with innovative biopharma companies and health systems to advance clinical research by leveraging our technology and expertise. Priorities include customer-facing and writing capabilities.

Major Responsibilities

→ Develop content required for execution and publication on projects that make significant contributions to science

• Lead the development of protocols, statistical analysis plans, and requirements documents
• Lead the development of abstracts and manuscripts related to studies, methods, and other efforts

→ Engage with key internal and external stakeholders

• Coach and facilitate awareness of the appropriate use, timing, and implementation of epidemiologic methods and statistical techniques
• Manage scientific discussions within customer and prospective customer meetings
• Communicate significant scientific information to a variety of audiences

→ Execute scientifically-advanced projects

• Demonstrate creative thought in applying methodological solutions that take advantage of advanced data sources and technologies
• Leverage project management, product, and engineering resources to ensure timely deliverables
• Collaborate with internal stakeholders to provide scientifically sound and efficient solutions to execution challenges

Position Requirements and Experience

Required

• Doctoral degree in epidemiology
• At least 5 years of professional experience within a pharmaceutical firm or working with pharmaceutical firms\
• Excellent writing skills
• Excellent verbal communication including the ability to interact with customers
• Experience in the design, execution, and analysis of observational research
• Creative intelligence, including a willingness to develop new methodologies that take advantage of a modern real-world evidence infrastructure using curation and data linkage

Preferred

• Experience working for a data vendor, preferably a company specializing in electronic health record data
• Experience working within an innovative growing startup company, including comfort with this culture
• Experience performing at least one study using electronic health record unstructured data and artificial intelligence technologies
• Record of publications in observational research
• Clinical degree

Personal and Professional Characteristics

• Meticulous
• Technology savvy
• Execution oriented
• Collaborative
• Communicative