Senior Healthcare Economics Analyst
Budget / Salary$120,000–140,000
TypeFull-time job
LocationUnited States
Posted4 hours ago
About RightMove
RightMove is redefining how musculoskeletal (MSK) care is delivered – shifting from fragmented, volume-driven care to a new operating system for how people move and thrive.
Backed by leading investors in value-based care and AI—including Flare Capital Partners, Frist Cressey Ventures and Greycroft—and built in partnership with the Hospital for Special Surgery (HSS), the world leader in MSK health trusted by elite athletes, we are creating a new standard of coordinated, expert-led care that gets people moving better and faster.
Our platform combines clinician-led triage with a purpose-built technology and data infrastructure—trained on tens of thousands of real clinical decisions and grounded in HSS protocols—to guide patients to the right care, at the right time, with the right provider. We are building an AI- and analytics-driven system that continuously improves clinical decision-making, patient engagement, and outcomes at scale. RightMove’s care model integrates patient engagement, clinical care from PTs and APPs under orthopedic physician oversight, virtual physical therapy, and navigation across a high-value provider network.
We are rapidly expanding across markets nationwide with leading employers and health plans, building the infrastructure for value-based MSK care at scale.
Our Mission & Values
We’re a high-performing team driven by one mission: to free people to move and thrive. At RightMove, we move fast, collaborate deeply, and deliver with precision. We’re a startup with enterprise-grade rigor—where talented operators, clinicians and engineers challenge conventions to improve patient outcomes.
We live our values every day:
Perform to Win – We bring our best to deliver measurable results, valuing impact over optics.
Be Direct with Respect – We communicate clearly, with honesty and care.
Move as One Team – We win together, across roles and functions.
Act with Agency – Our teams have high trust and high accountability, with the freedom to own and responsibility to deliver.
Choose Optimism – We bring energy and perspective, even when the work is hard.
What You’ll Do
This is a senior individual contributor role on RightMove’s Analytics team, responsible for measuring and proving the impact of our care model.
As Senior Healthcare Economics Analyst, you will own the analyses that quantify how RightMove affects outcomes, utilization, experience, and total cost of care for internal decision-making and for the employers and health plans who buy our solution.
You will work across claims, EHR, and provider network data to evaluate care interventions and technology investments, identify savings opportunities, and translate findings into recommendations that shape clinical, product, and network strategy.
This role owns the evidence base behind RightMove’s value story: the measurement methodology, the savings math, and the customer-facing analyses that prove the value of a differentiated care model.
What You’ll Own
Outcomes & Savings Measurement
Own internal and customer-facing analyses that measure how RightMove’s care model affects outcomes, utilization, experience, and total cost of care
Evaluate the financial and clinical impact of care interventions and technology investments, including virtual physical therapy, remote monitoring, and other MSK care delivery programs
Build and maintain comparison groups, risk adjustment approaches, and measurement methodologies that hold up to external review
Claims & Network Analytics
Translate complex medical data into practical recommendations that improve savings, quality, and patient navigation
Analyze referral patterns, provider performance, and market-level dynamics to identify opportunities to guide patients to high-value care
Size and prioritize cost reduction opportunities across the MSK episode
Measurement Infrastructure
Partner with Data Engineering to build scalable datasets, dashboards, and measurement frameworks
Define reusable measurement standards so recurring reporting is repeatable rather than rebuilt each cycle
Document methodology so results can be reproduced and defended over time
Customer-Facing Communication
Communicate findings clearly through executive-ready analyses, customer-facing reports, slide decks, and white papers
Present results and methodology directly to employer and health plan stakeholders, including their analytics and business teams
Support Commercial and Partner Success teams in renewal, expansion, and new business conversations
What Success Looks Like
Credible Measurement: Savings and outcomes methodologies that withstand scrutiny from health plan and employer actuarial teams
Commercial Impact: Analyses that directly support renewals, expansions, and new partnership conversations
Repeatability: Recurring reporting built on reusable datasets and documented methods rather than one-off analyses
Decision Influence: Findings that change clinical, product, and network priorities
Analytic Throughput: Turnaround that keeps pace with commercial cycles without sacrificing rigor
Minimum Qualifications
3+ years of analytics experience in a value-based care setting, such as a payer, risk-bearing provider group, ACO, or healthcare technology company operating under at-risk contracts
Direct experience evaluating program or intervention savings, including building appropriate comparison groups, applying risk adjustment, and accounting for common confounders such as selection effects and regression to the mean
Deep working knowledge of medical claims data (structure, limitations, and analytic pitfalls)
Demonstrated experience querying large claims datasets using SQL in a cloud data warehouse such as Snowflake, BigQuery, or Databricks
Proficiency in Excel and at least one scripting language (Python or R) for analysis
Master’s degree in health economics, public health, health services research, biostatistics, or a related field, or equivalent applied experience in a quantitative healthcare analytics role
Outstanding written and verbal communication skills, with a track record of translating analytic findings into clear business and clinical implications for non-technical audiences
Comfortable with AI tooling and able to leverage Claude Code and Snowflake Cortex to increase the speed and rigor of analytics deliverables
Preferred Qualifications
Experience with musculoskeletal care, specialty care, virtual care, provider network analytics, or population health programs
Experience producing client-facing outcomes and ROI reporting, including presenting results directly to employer or health plan stakeholders
Familiarity with analytics engineering practices (dbt or similar frameworks) and dashboard development workflows
Experience partnering with actuarial teams on savings validation or contract performance measurement
About You
A practitioner who stays close to the data rather than directing others to pull it
Skeptical of your own numbers, and instinctively look for what could explain a result other than the intervention
Can explain a methodology to a non-technical audience and defend it to an actuary
Comfortable working with incomplete and imperfect healthcare data without overstating what it supports
Organized enough to run recurring reporting alongside ad hoc requests
Direct about what an analysis does and does not show
Motivated by measurable patient impact, not just analytic elegance
Salary: $120,000 – $140,000 / yearOriginally posted on Himalayas
RightMove is redefining how musculoskeletal (MSK) care is delivered – shifting from fragmented, volume-driven care to a new operating system for how people move and thrive.
Backed by leading investors in value-based care and AI—including Flare Capital Partners, Frist Cressey Ventures and Greycroft—and built in partnership with the Hospital for Special Surgery (HSS), the world leader in MSK health trusted by elite athletes, we are creating a new standard of coordinated, expert-led care that gets people moving better and faster.
Our platform combines clinician-led triage with a purpose-built technology and data infrastructure—trained on tens of thousands of real clinical decisions and grounded in HSS protocols—to guide patients to the right care, at the right time, with the right provider. We are building an AI- and analytics-driven system that continuously improves clinical decision-making, patient engagement, and outcomes at scale. RightMove’s care model integrates patient engagement, clinical care from PTs and APPs under orthopedic physician oversight, virtual physical therapy, and navigation across a high-value provider network.
We are rapidly expanding across markets nationwide with leading employers and health plans, building the infrastructure for value-based MSK care at scale.
Our Mission & Values
We’re a high-performing team driven by one mission: to free people to move and thrive. At RightMove, we move fast, collaborate deeply, and deliver with precision. We’re a startup with enterprise-grade rigor—where talented operators, clinicians and engineers challenge conventions to improve patient outcomes.
We live our values every day:
Perform to Win – We bring our best to deliver measurable results, valuing impact over optics.
Be Direct with Respect – We communicate clearly, with honesty and care.
Move as One Team – We win together, across roles and functions.
Act with Agency – Our teams have high trust and high accountability, with the freedom to own and responsibility to deliver.
Choose Optimism – We bring energy and perspective, even when the work is hard.
What You’ll Do
This is a senior individual contributor role on RightMove’s Analytics team, responsible for measuring and proving the impact of our care model.
As Senior Healthcare Economics Analyst, you will own the analyses that quantify how RightMove affects outcomes, utilization, experience, and total cost of care for internal decision-making and for the employers and health plans who buy our solution.
You will work across claims, EHR, and provider network data to evaluate care interventions and technology investments, identify savings opportunities, and translate findings into recommendations that shape clinical, product, and network strategy.
This role owns the evidence base behind RightMove’s value story: the measurement methodology, the savings math, and the customer-facing analyses that prove the value of a differentiated care model.
What You’ll Own
Outcomes & Savings Measurement
Own internal and customer-facing analyses that measure how RightMove’s care model affects outcomes, utilization, experience, and total cost of care
Evaluate the financial and clinical impact of care interventions and technology investments, including virtual physical therapy, remote monitoring, and other MSK care delivery programs
Build and maintain comparison groups, risk adjustment approaches, and measurement methodologies that hold up to external review
Claims & Network Analytics
Translate complex medical data into practical recommendations that improve savings, quality, and patient navigation
Analyze referral patterns, provider performance, and market-level dynamics to identify opportunities to guide patients to high-value care
Size and prioritize cost reduction opportunities across the MSK episode
Measurement Infrastructure
Partner with Data Engineering to build scalable datasets, dashboards, and measurement frameworks
Define reusable measurement standards so recurring reporting is repeatable rather than rebuilt each cycle
Document methodology so results can be reproduced and defended over time
Customer-Facing Communication
Communicate findings clearly through executive-ready analyses, customer-facing reports, slide decks, and white papers
Present results and methodology directly to employer and health plan stakeholders, including their analytics and business teams
Support Commercial and Partner Success teams in renewal, expansion, and new business conversations
What Success Looks Like
Credible Measurement: Savings and outcomes methodologies that withstand scrutiny from health plan and employer actuarial teams
Commercial Impact: Analyses that directly support renewals, expansions, and new partnership conversations
Repeatability: Recurring reporting built on reusable datasets and documented methods rather than one-off analyses
Decision Influence: Findings that change clinical, product, and network priorities
Analytic Throughput: Turnaround that keeps pace with commercial cycles without sacrificing rigor
Minimum Qualifications
3+ years of analytics experience in a value-based care setting, such as a payer, risk-bearing provider group, ACO, or healthcare technology company operating under at-risk contracts
Direct experience evaluating program or intervention savings, including building appropriate comparison groups, applying risk adjustment, and accounting for common confounders such as selection effects and regression to the mean
Deep working knowledge of medical claims data (structure, limitations, and analytic pitfalls)
Demonstrated experience querying large claims datasets using SQL in a cloud data warehouse such as Snowflake, BigQuery, or Databricks
Proficiency in Excel and at least one scripting language (Python or R) for analysis
Master’s degree in health economics, public health, health services research, biostatistics, or a related field, or equivalent applied experience in a quantitative healthcare analytics role
Outstanding written and verbal communication skills, with a track record of translating analytic findings into clear business and clinical implications for non-technical audiences
Comfortable with AI tooling and able to leverage Claude Code and Snowflake Cortex to increase the speed and rigor of analytics deliverables
Preferred Qualifications
Experience with musculoskeletal care, specialty care, virtual care, provider network analytics, or population health programs
Experience producing client-facing outcomes and ROI reporting, including presenting results directly to employer or health plan stakeholders
Familiarity with analytics engineering practices (dbt or similar frameworks) and dashboard development workflows
Experience partnering with actuarial teams on savings validation or contract performance measurement
About You
A practitioner who stays close to the data rather than directing others to pull it
Skeptical of your own numbers, and instinctively look for what could explain a result other than the intervention
Can explain a methodology to a non-technical audience and defend it to an actuary
Comfortable working with incomplete and imperfect healthcare data without overstating what it supports
Organized enough to run recurring reporting alongside ad hoc requests
Direct about what an analysis does and does not show
Motivated by measurable patient impact, not just analytic elegance
Salary: $120,000 – $140,000 / yearOriginally posted on Himalayas
Apply on Himalayas →
Job sourced from Himalayas. Applications happen directly on the original platform — we never collect your data.