
51 - 200 employees
🏥 Healthcare
đź’Ľ Consulting
📦 Logistics
đź’° Grant on 2021-06
Healthcare • Consulting • Logistics
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.
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51 - 200 employees
🏥 Healthcare
đź’Ľ Consulting
📦 Logistics
đź’° Grant on 2021-06
Healthcare • Consulting • Logistics
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.
• Own the vision, strategy, and roadmap, sequencing delivery across the product area • Partner with annotators, annotation supervisors, clinical subject-matter experts, AI and data engineers, and customer success to translate needs into a coherent, scalable product producing research-grade, defensible outputs • Champion product principles of transparency, compounding knowledge, expert decision-making, and configurability for scale • Work in an AI-native, prototype-first way using LLMs and modern building tools to spec and pressure-test ideas, ship thin slices, measure accuracy and throughput, and improve in tight loops • Define and instrument success metrics including extraction accuracy, inter-annotator agreement, throughput, and cost-per-dataset reduction • Manage the product release process and develop launch materials with marketing and sales • Set the vision and roadmap for the product that turns complex clinical data into trusted, structured evidence
• Bachelor's degree in a technical, scientific, or medical field from a reputed institution • Significant product management experience, including senior-level ownership of one or more AI-powered products or components, with full B2B product lifecycle experience and products currently in commercial use • Demonstrated fluency working in an AI-native, prototype-first way: hands-on use of LLMs (e.g., Claude, ChatGPT, Gemini) and building tools (e.g., v0, Claude Cowork/Code, OpenAI Codex) to prototype, validate, and accelerate product work, with a bias toward iterating quickly over long up-front specification • Working knowledge of natural language processing (NLP), machine learning (ML), and the concepts behind model training, evaluation, and accuracy measurement (precision, recall, F1, inter-annotator agreement) • Ability to understand business requirements and translate them into AI-powered product capabilities • Experience with data-intensive, enterprise-level applications, including multi-tenancy, enterprise authentication, and user management concerns • Prior product management experience in an agile development environment, with strong familiarity with JIRA and the ability to break work into well-scoped epics and stories • Exceptional verbal and written communication skills • Advanced degree such as MBA, MS, PhD, or MD from a reputed institution (preferred) • Product management experience in healthcare technology companies (preferred) • Prior experience working with complex healthcare data, including electronic health records, clinical notes, claims, and disease registries (preferred) • Experience with clinical data annotation, chart abstraction, reference-standard creation, or human-in-the-loop AI workflows (preferred) • Familiarity with healthcare data standards and vocabularies (e.g., OMOP, FHIR, CDA) and de-identification practices (preferred) • Life sciences domain experience, specifically around observational research studies and disease-specific cohorts (preferred)
• Flexible work location • Medical, dental, vision benefits • 401K plan with employer match • Work-life balance • Opportunity to work with healthcare technology visionaries
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