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Twin Health is hiring a

Analytics Lead, Health Economics

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Remote, MN
Posted 13 hours ago
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Job Description

Twin Health 

At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health. 

We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health. Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives.

Working here 

Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® .

With more than $100 million raised in recent funding, including a $53 million Series E round in 2025 led by Maj Invest, and a $50 million investment in 2023 led by Temasek, Twin is scaling rapidly across the U.S. and globally. Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world.

Join us as we reinvent the standard of care in metabolic health.

Opportunity

At Twin Health, we transform real-world healthcare data into actionable economic insights that drive better outcomes and smarter spending. Our Health Economics team partners across analytics, engineering, and finance functions to uncover the true impact of the Twin Digital AI, design predictive models, and translate findings into decisions that shape strategy and growth.

As a Lead Healthcare Economics Analyst, you’ll own end-to-end analytics for major cost-of-care initiatives from data extraction through health economics outcomes modeling and communication of results. You’ll work with large and complex datasets, quantify relationships between clinical measurements and financial impacts, and help shape how Twin and our partners understand value in healthcare. This is an opportunity to apply technical skill and business intuition in a visible role, collaborating with leaders across finance, sales, partner management, and product strategy.

Responsibilities 

  • Extract and compile data from internal systems to support financial and program decision-making.
  • Design and execute HEOR analyses, including pre/post, propensity-matched difference-in-difference, to quantify program impact and savings.
  • Perform analyses to estimate the expected financial value of proposed medical cost improvement initiatives.
  • Collaborate with commercial and analytics teams to contextualize and communicate data findings and inform intervention design.
  • Analyze trends in utilization, cost, and performance across commercial and Medicare populations.
  • Develop data pipelines and reproducible analytic datasets and queries; optimize query efficiency for large healthcare data sets.
  • Summarize and communicate insights clearly to technical and non-technical audiences, including executives
  • Support vendor evaluation and return-on-investment (ROI) analyses for clinical and digital health programs.
  • Other duties as assigned

Qualifications 

  • Bachelor’s degree in Economics, Actuarial Science, Data Science, or related field (Master’s preferred).
  • 4+ years of healthcare analytics or health economics experience (payer, provider, or analytics vendor).
  • Proficiency in SQL and cloud SQL platforms, e.g. Snowflake, for data retrieval and management.
  • Advanced Excel modeling skills (including Power Query, PivotTables, and sensitivity analysis).
  • Experience developing or interpreting healthcare financial models (PMPM, utilization, or intervention ROI).
  • Proficiency in quantitative & machine learning modeling methodologies.
  • Working knowledge of ICD, CPT, HCPCS, and claims data structure.
  • Strong communication and storytelling skills for executive audiences.
  • Proficiency in R and/or Python 
  • This remote opportunity based out of the U.S. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Compensation and Benefits  

The compensation range for this position is $130,000 - $140,000 annually. 

Twin has an ambitious vision to empower people to live healthier and happier lives, and to achieve this purpose, we need the very best people to enhance our cutting-edge technology and medical science, deliver the best possible care, and turn our passion into value for our members, partners and investors. We are committed to delivering an outstanding culture and experience for every Twin employee through a company based on the values of passion, talent, and trust. We offer comprehensive benefits and perks in line with these principles, as well as a high level of flexibility for every Twin

  • A competitive compensation package in line with leading technology companies
  • A remote and accomplished global team
  • Opportunity for equity participation 
  • Unlimited vacation with manager approval
  • 16 weeks of 100% paid parental leave for delivering parents; 8 weeks of 100% paid parental leave for non-delivering parents
  • 100% Employer sponsored healthcare, dental, and vision for you, and 80% coverage for your family; Health Savings Account and Flexible Spending Account options
  • 401k retirement savings plan
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Salary Information

Salary: $130,000 - $160,000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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