
51 - 200 employees
Founded 2018
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
xCures is a healthcare AI company that provides a Clinical Clarity Engine to retrieve, assemble, and structure fragmented medical records into decision-ready, source-linked clinical data. Its products—Evidence Grade Data, Automated Patient History, and Decision-Ready Checklists—extract and validate clinical information at scale, delivering verifiable outputs via summaries, dashboards, APIs, and export feeds for healthcare teams and partners. xCures is B2B-focused, serving providers, diagnostics groups, value-based care organizations, and channel partners; it emphasizes traceability and validation (peer-reviewed research, high extraction accuracy, and HITRUST certification) and processes medical records at large scale to accelerate prior authorization, chart review, quality reporting, and other clinical and operational workflows.
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51 - 200 employees
Founded 2018
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
xCures is a healthcare AI company that provides a Clinical Clarity Engine to retrieve, assemble, and structure fragmented medical records into decision-ready, source-linked clinical data. Its products—Evidence Grade Data, Automated Patient History, and Decision-Ready Checklists—extract and validate clinical information at scale, delivering verifiable outputs via summaries, dashboards, APIs, and export feeds for healthcare teams and partners. xCures is B2B-focused, serving providers, diagnostics groups, value-based care organizations, and channel partners; it emphasizes traceability and validation (peer-reviewed research, high extraction accuracy, and HITRUST certification) and processes medical records at large scale to accelerate prior authorization, chart review, quality reporting, and other clinical and operational workflows.
• Serve as a key scientific liaison in client and partner discussions • Define data needs, manage expectations, and translate clinical and operational requirements into actionable strategies • Lead external discussions around data quality and validation • Communicate complex clinical data extraction capabilities and insights, including genomics, oncology treatments, and patient outcomes • Act as a subject matter expert in oncology and real-world data applications • Support client research initiatives by advising on interpretation, provenance, and internal use of real-world data • Provide scientific guidance on client-led real-world evidence studies using the xCures platform • Collaborate with product and engineering teams to inform client-facing features and data offerings • Propose and lead collaborations on joint publications and thought leadership with clients and researchers • Represent xCures at conferences and external forums by presenting platform capabilities, scientific findings, and real-world data applications in oncology • Support the business development team • Articulate client needs to Data Science, Product, and Engineering teams • Support Client Solutions and Customer Success teams in expanding client use cases
• PhD in a life sciences discipline • 4+ years of experience as an MSL in the oncology diagnostics industry • Demonstrated ability to translate complex scientific concepts into clear, concise, and actionable insights for diverse audiences • Proven ability to build and maintain strong professional relationships with diverse stakeholders, including C-suite executives, clinical subject matter experts, and internal cross-functional teams • Experience with structured clinical data and real-world data analysis • Proven track record of managing multiple complex and unrelated projects simultaneously • Strong organizational and time management skills • Exceptional written and verbal communication and presentation skills • Comfort working remotely and with virtual communication platforms • Ability to thrive in a fast-paced, dynamic, and growth-phase start-up environment • Significant experience with electronic medical records (EMR) and understanding of the healthcare data landscape (preferred) • Understanding of data quality principles and data validation processes (preferred) • Analytical and problem-solving skills, with ability to evaluate and interpret scientific data (preferred) • Experience with conversational AI agents (preferred) • Familiarity with the regulatory landscape governing real-world data and its use in healthcare (preferred) • Must already have authorization to work in the United States • Candidates may be located anywhere in the United States
• Remote-First • Paid Time Off and 13 Company Holidays • Equity Package • Paid Parental Leave • Medical, Vision, and Dental • Employer HSA Contribution • Employer 401(k) Match • STD, LTD, Life Insurance and Critical Illness Plans • Employee Assistance Program • Adoption Assistance • Company Offsites • Monthly Internet Allowance • Professional Development Funds
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