Medical Science Liaison: Clinical Strategy and VBC Solutions
About xCures
Founded in 2018, xCures operates the leading healthcare data platform designed to aggregate, normalize, and structure medical records from disparate sources. Assisted by artificial intelligence, our platform bridges the gap between raw clinical documentation and actionable intelligence, empowering providers and payers to optimize medical management, close care gaps, and succeed in risk-based reimbursement models.
The Opportunity
xCures is seeking a sophisticated, clinically-grounded Medical Science Liaison (MSL) to serve as a strategic architect between our AI-driven data extraction capabilities and the complex needs of our clients. Reporting to the VP, Scientific and Medical Affairs, this role focuses on the payer-provider ecosystem, specifically supporting Value-Based Care (VBC), telehealth, and specialty pharmacy partners. You will translate clinical nuances and provider workflows into structured extraction logic, turning nationwide data fragmentation into a strategic asset for payers and clinicians. Your expertise will ensure xCures delivers auditable, longitudinal patient histories that solve the ‘missing data’ problem inherent in risk adjustment and specialty pharmacy management. The ideal candidate will have extensive experience in medical management and a “bedside-to-boardroom” perspective on how clinical nuances impact HEDIS, risk adjustment, and quality scores.
Key Responsibilities
- Develop and optimize custom data extraction checklists and AI-driven logic, utilizing clinical expertise to ensure the platform captures subtle diagnostic nuances, treatment sequencing, and medical necessity markers that standard aggregators miss.
- Serve as the primary clinical strategist in client engagements, bridging the gap between raw clinical documentation and decision-ready intelligence required for risk adjustment and HEDIS programs.
- Architect clinical extraction frameworks using xCures’ proprietary Clinical Concepts data model to provide standardized, higher-level representations of patient data that simplify complex medical management workflows.
- Translate the complexities of specialty pharmacy procedures and medical management protocols into structured data requirements that support clinical and financial outcomes.
- Lead high-level discussions regarding data fidelity, ensuring that extracted intelligence accurately reflects the clinical intent and the longitudinal reality of the patient journey.
- Advise clients on the clinical interpretation of population-level big data, identifying opportunities to close care gaps and improve quality metrics within VBC frameworks.
- Support the design of data-driven intervention models for telehealth and specialty pharmacy, ensuring they meet the rigorous standards of both clinical efficacy and payer reimbursement.
- Troubleshoot complex clinical data anomalies by applying “real-world” medical logic, identifying where provider documentation habits may impact data outputs.
Qualifications
Required Qualifications:
- PharmD, PA-C, PhD, or equivalent clinical degree.
- 4+ years of experience in a clinical, MSL, or health informatics role with an emphasis on HEDIS, Risk Adjustment (RAF), and pharmacy benefits management.
- Advanced understanding of the Payer-Provider landscape, including the operational challenges of Value-Based Care and the nuances of quality reporting.
- Demonstrated expertise in clinical pharmacy or direct patient care, with a proven ability to interpret complex treatment pathways and specialty medication workflows.
- Proven track record in client-facing healthcare partnerships, specifically supporting stakeholders in clinical strategy, population health, or actuarial teams.
- Exceptional ability to bridge the gap between clinical “gray areas” and structured technical requirements for large-scale data analysis.
- Professional fluency in the regulatory and economic drivers of the modern healthcare market.
Preferred Qualifications:
- Direct Point-of-Care experience (e.g., managing Prior Authorizations, clinical pharmacy interventions, or utilization management).
- Experience in Clinical Prompt Engineering & LLM Evaluation: Proven ability to develop and refine complex prompts for Large Language Models (LLMs) to extract structured clinical entities (e.g., medication dosages, ICD-10 codes, or treatment intent) from unstructured medical narratives.
- Professional fluency in the regulatory and economic drivers of the modern healthcare market (e.g., TEFCA, NCQA ECDS standards, and CMS VBC targets).
- Deep knowledge of population health analytics and the impact of social determinants of health (SDoH) on clinical outcomes.
- Experience with business intelligence and visualization tools (e.g., AWS Quicksight, Power BI) to communicate population trends to executive stakeholders.
- Comfort with data manipulation or coding (Python, R) to support bespoke clinical analysis.
Benefits:
- Medical, Dental, Vision Insurance; 401K
- Travel: 10%
- Location: Remote (US-based)
- Compensation: $150,000 – $170,000 annually
Apply by sending your resume and cover letter to medical-affairs@xcures.com
xCures acknowledges that equal opportunity for all persons is a fundamental human value.Each employee and applicant will be considered on the basis of individual ability and merit,without regard to race, color, religion, age, sex, sexual orientation, gender identity, genderexpression, pregnancy, national origin, marital status, physical disability, mental disability,medical condition, genetic information, protected military or veteran status, or any othercharacteristics.