Modern Health is the comprehensive global mental health solution offering employees access to one-on-one, group, and self-serve digital resources for their emotional, professional, social, financial, and physical well-being needs - all within a single platform. Whether someone wants to proactively manage stress or treat depression, Modern Health guides people to the right care at the right time. Modern Health empowers companies to help all their employees be the best version of themselves and believes in meeting people wherever they are in their mental health journey.

Modern Health is backed by investors like Kleiner Perkins, Founders Fund, John Doerr, Y Combinator, and Battery Ventures and has raised more than $170 million in less than two years with a valuation of $1.17 billion, making Modern Health the fastest entirely female-founded company in the U.S. to reach Unicorn status.

Modern Health is looking for a Lead Clinical Data Analyst to join our Analytics team. The role reports into our Analytics Manager and will work cross-functionally with our Clinical Strategy & Research team as their domain expert within Analytics, and with our Product and Go-To-Market teams for all clinical data needs.

In this role, you will: 1) Evaluate member utilization and outcomes to maintain clinical rigor and drive product improvements and revenue growth. 2) Analyze our member data to understand which products and services lead to improved clinical results and share key insights and ideas on how to continuously improve member outcomes with relevant stakeholders across varying levels of leadership. 3) Conduct statistical analyses to support clinical and scientific research. 4) Create a compelling story around member outcomes and our value proposition.

We would love to hear from you if you deeply understand clinical analytics, are excited about improving outcomes for our members, and enjoy building relationships with key stakeholders.

This position is not eligible to be performed in Hawaii.

What You'll Do

• Identify which metrics matter and how to measure them, align those definitions across the company, implement them in our database, and report on them via Looker
• Own outcomes and ROI analyses and reporting; simplify our data to allow our customers to visualize the complete member journey and understand the value of their investment in Modern Health
• Conduct deep-dive data analyses using your skills in SQL, Python, or the tool of your choice and translate the results into actionable recommendations to improve clinical outcomes and the member care journey
• Apply advanced statistical methodologies (using Python, R, or your tool of choice) to analyze large-scale datasets generated from observational studies and real-world patient data
• Collaborate with the Clinical Research Team to generate and publish scientific evidence about the platform
• Use external claims data to evaluate the value of the Modern Health platform and work closely with our Go-to-Market teams to communicate findings to clients and prospects
• Define, socialize, and measure KPIs aligned to company strategic objectives
• Build data sources and dashboards that empower stakeholders to understand the data that matters most to them and make informed decisions
• Guarantee the reliability of your work by checking, double checking, and code review
• Develop and sustain our code base; partner with Data Engineering to improve our data platform

Who You Are

• 4+ years of experience in healthcare or health tech analytics
• 3+ years conducting statistical analyses in a clinical or biomedical research setting, preferably within mental health or behavioral sciences
• Expert in SQL, data analysis, and data visualization
• Master's degree in Biostatistics, Epidemiology, or a related field
• Proficiency in statistical analytics, including familiarity with Python, R, or equivalent tools
• Experience with Looker or an equivalent BI tool
• Experienced in working with claims data and applying analytical and statistical concepts to real-world data to measure clinical and economic outcomes
• Experienced in applying data and analytics concepts to business problems cross-functionally
• Proven success partnering with and explaining data and analytics concepts to non-technical team members at any level of seniority
• Experience working in high-performing product teams, with a focus on cross-functional collaboration, early & rapid testing, and outcomes over output
• Ability to both think strategically and drive execution
• High EQ, strong interpersonal and relationship-building skills, including comfort and experience interfacing with internal leadership
• Passionate about the mental health space
• Humble, scrappy, highly motivated, and thrive in fast-paced environments

Bonus Points

• Experience in digital health
• Experience in data science or data engineering
• High-growth startup experience