
11 - 50 employees
Founded 2022
🤝 B2B
👥 B2C
🧘 Wellness
B2B • B2C • Wellness
RightMove Health is a specialist-led musculoskeletal care and care-coordination company that provides fast virtual and in-person evaluations for back, joint, and muscle pain. It partners with health plans and clinical leaders (including Hospital for Special Surgery) to deliver provider-driven care plans, schedule and coordinate services, and offer member support at no cost to enrolled members. RightMove combines clinical expertise with a purpose-built technology platform to streamline referrals, imaging, physical therapy, and specialist care, aiming to improve outcomes and reduce unnecessary surgeries.
🕒 March 27
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11 - 50 employees
Founded 2022
🤝 B2B
👥 B2C
🧘 Wellness
B2B • B2C • Wellness
RightMove Health is a specialist-led musculoskeletal care and care-coordination company that provides fast virtual and in-person evaluations for back, joint, and muscle pain. It partners with health plans and clinical leaders (including Hospital for Special Surgery) to deliver provider-driven care plans, schedule and coordinate services, and offer member support at no cost to enrolled members. RightMove combines clinical expertise with a purpose-built technology platform to streamline referrals, imaging, physical therapy, and specialist care, aiming to improve outcomes and reduce unnecessary surgeries.
• Lead development and refinement of RightMove’s MSK condition and procedure data model, including cohort definitions, inclusion/exclusion logic, and episode construction. • Partner with engineering and data teams to support ingestion and integration of key datasets, including claims, eligibility, provider network, and referral data. • Develop and maintain clear, payer-ready methodology documentation describing RightMove’s cohort definitions, cost attribution models, and analytical methodologies. • Develop analytical models and reporting that inform market opportunity, utilization patterns, and care pathways across MSK populations. • Analyze cost and utilization trends by condition, geography, provider type, and site of care. • Evaluate patient care journeys and referral pathways to identify variation in care patterns and opportunities for earlier intervention. • Build dashboards and reporting tools using modern BI tools, likely Sigma or LightDash, to support internal decision-making and customer reporting. • Lead refinement of RightMove’s clinical savings models, estimating the financial impact of clinical programs and pathways. • Develop population-level cost and utilization models that support PMPM savings projections, intervention impact estimates, and value-based care contracting discussions. • Partner with clinical leadership and external experts to ensure analytical approaches reflect real-world care pathways and operational interventions. • Work with RightMove’s actuarial partner to validate savings methodologies, risk adjustment approaches, and cost modeling assumptions. • Translate analytical outputs into clear insights that support payer conversations, contracting discussions, and customer reporting. • Analyze provider and facility performance to identify cost drivers, variation in practice patterns, and referral behaviors. • Generate insights that support network design, preferred provider strategies, and referral pathway optimization. • Partner with clinical and market development teams to support provider engagement with actionable data insights. • Establish foundational data and analytics capabilities, including scalable reporting infrastructure and analytical workflows. • Partner with data engineering to build a modern analytics stack that supports both internal analytics and external customer reporting. • Develop internal dashboards and customer-facing reporting using business intelligence tools.
• 8+ years of experience in healthcare analytics, health economics, payer analytics, or health services research. • Deep experience working with medical and pharmacy claims data. • Strong understanding of ICD-10, CPT/HCPCS codes, and episode-based healthcare analysis. • Experience analyzing healthcare utilization patterns, cost drivers, and provider variation. • Experience building savings models, actuarial analyses, or value-based care analytics. • Strong SQL skills and proficiency in analytical tools such as Python, R, or similar. • Ability to translate complex analyses into clear insights and narratives for business leaders, clinicians, and payer stakeholders. • Experience presenting analytics and insights to customers, payer partners, or external stakeholders is strongly preferred.
• (Not explicitly mentioned)
Apply Now🕒 March 27
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