Senior Healthcare Analytics Engineer

Base Compensation: $130,000 - $180,000 USD

Use your engineering experience to help people live healthier

Wellth is a fast-growing digital health startup headquartered in Los Angeles that recently raised a Series B from leading investors, including SignalFire. Our mission is to provide daily care motivation to people living with chronic conditions so they can make healthier choices every day.

We don’t assume that just providing a tool or a beautiful app will get results. We use behavioral economics, habit science, and technology to motivate and sustain behavior change in some of the US's highest-need and most underserved populations (think Medicaid and Medicare), drastically changing their quality of life and health outcomes. We have demonstrated results with several large insurers and health systems (e.g., reducing hospitalizations by over 40%) and are scaling the company and team. We aim to be the category leader in improving health outcomes for hard-to-engage populations.

Our work saves lives every day. We are a mission-driven company where you work with incredible talent and see tangible differences directly from your impact and influence.

You have the opportunity to build systems that drive daily healthy habit experiences.

Some of the problems you’ll work on include:

• Architect and implement scalable analytics to demonstrate customer outcomes.
• Identify high-risk patients that are likely to gain significant benefit from Wellth programs.
• Develop and enhance propensity score models for generating synthetic control groups.
• Build and evolve predictive models: churn, health improvement, disease progression, behavioral improvement, and more.
• Investigate potential expansion/impact areas not yet addressed by Wellth’s solutions.
• Tell a powerful story about the impact of Wellth’s positive behavior change through data and data visualizations for health plan and provider customers.

Specifically, you will:

• Develop and maintain a codebase for Wellth’s data analysis and visualization package, focusing on healthcare outcomes. 
• Build durable self-service data tools operating on health data that support product insights for our customers.
• Triage operational issues, address data bugs, and create and maintain documentation.
• Optimize and experiment with new and existing business-critical data models.
• Seek, make available, and consume new data sets, including but not limited to healthcare data standard sets (e.g. claims data, clinical information, EHR data)
• Serve as a thought partner to our Product Managers and Product leadership team. Educate our teams to help us ask better questions, interpret findings more effectively, and drive informed decision-making.
• Provide leadership on industry best practices, trending topics, and emergent technologies to continuously improve and refine our processes and systems.

You will be a member of a diverse and supportive team. 

You will work with:

• Product leaders on building out a scalable healthcare outcomes analytics product.
• Customer success leaders to deliver evidence of Wellth’s outcomes.
• Data engineers, analysts, and data operators to establish and maintain best practices in engineering and data operations. 
• Manager of Data Engineering, focusing on your professional growth in data science and leadership within the healthcare outcomes domain.

You might be the candidate we’re looking for.

We’re looking for someone who has:

• Healthcare experience
• 7+ years of professional experience as an analytics engineer or data analyst in the healthcare sector, with hands-on experience with sensitive claims data, patient data, and other healthcare data sets.
• Experience developing analyses offering strategic insights on quality metrics, CMS measures, and ROI.
• Expert familiarity with healthcare data standards and experience working with various healthcare data sets (claims, EHR, clinical, labs, etc.).
• Experience working with HEDIS measure reporting and a familiarity with Star Ratings in Medicare Advantage
• Fluency in evolving healthcare industry standards, analytics techniques, and best practices, applying them to analytical methods that drive more meaningful insights.
• Analytics Engineering Skills
• Experience with architecting and operating production data systems: responding to and triaging issues, optimizing performance, and increasing stability, among other things.
• Advanced proficiency in writing clean and maintainable SQL, Python, and shell scripts for automation, analysis, and ETL using industry best practices.
• Proven ability to design and implement advanced, customer-facing data visualizations. 
• Proficiency in develop