[Remote] Analytics Lead, Health Economics at Twin Health

Mongolia

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Digital Health, HealthtechIndustries

Requirements

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 [qualifications, as listed but incomplete in description]

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

Skills

Health Economics

Analytics

Data Analysis

Healthcare Data

Economic Modeling

Digital Twin

CGM Data

Real-World Evidence

Twin Health

Monitors and treats chronic metabolic diseases

About Twin Health

Twin Health focuses on addressing chronic metabolic diseases by targeting their root cause: damaged metabolism. The company operates in the healthcare and wellness market, specifically for individuals suffering from conditions like diabetes and Metabolic Syndrome. Twin Health uses its Whole Body Digital Twin technology, which combines sensors, artificial intelligence, and medical science to create a virtual model of the human body. This technology allows for real-time monitoring and analysis of a person's metabolic functions, enabling the creation of personalized treatment plans. Unlike its competitors, Twin Health emphasizes reversing and preventing these diseases through a subscription-based model that provides continuous support and updates. The goal of Twin Health is to effectively manage and reduce the prevalence of chronic metabolic diseases, improving the health of millions globally.

Mountain View, CaliforniaHeadquarters

2018Year Founded

$227.1MTotal Funding

LATE_VCCompany Stage

AI & Machine Learning, HealthcareIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Unlimited Paid Time Off

Parental Leave

Health Savings Account/Flexible Spending Account

Company Equity

Remote Work Options

Flexible Work Hours

Risks

Competition from companies like Virta Health threatens Twin Health's market share.

Privacy concerns and regulatory scrutiny challenge wearable technology data collection.

Economic downturn may impact consumer spending on health subscriptions, affecting revenue growth.

Differentiation

Twin Health's Whole Body Digital Twin offers real-time metabolic monitoring and personalized treatment.

The platform integrates AI, sensors, and medical science to reverse chronic diseases.

Twin Health targets root causes of metabolic diseases, unlike competitors focusing on symptoms.

Upsides

Growing digital twin market offers strong potential for Twin Health's technology.

Increasing trend in personalized medicine aligns with Twin Health's treatment approach.

AI-driven solutions adoption by healthcare providers enhances collaboration opportunities for Twin Health.

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