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

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