About Lyra Health

Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and elite provider network, 2.2 million people can receive best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $480 million.

About the Role

At Lyra we believe that data-driven technology and decision making is a critical part of solving the thorny, complex challenges of provider quality and accessibility in a broken system. We are looking for a research focused Data Scientist who cares about clinical quality, impact, ownership and cross functional collaboration.

Lyra is for you, if you

• Want to work with brilliant people solving hard problems
• Have a passion for social impact and helping people when they are most vulnerable
• Like to collaborate across teams with physicians, therapists, data engineers, and product managers

In this role you will

• Become an expert in the data we collect and use that data to enable us to create the highest quality product for our clients
• Develop comprehensive analyses from diverse data sources to answer questions related to the client care journey
• Own the analysis plan and statistical methods of Lyra research publications as a co-author
• Analyze claims data to determine customer impact of investing in mental health
• Partner with data engineers to build pipelines that apply clinical logic to raw data
• Complete time-sensitive ad hoc data requests for internal and external stakeholders

We are looking for someone with

• 2+ years of data analysis in a healthcare industry setting
• Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression)
• Graduate level Statistics coursework with MS in a quantitative field preferred (statistics, econometrics, biostatistics, quantitative social sciences)
• Experience with Python including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions and automate
• Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables
• Experience working directly on projects the result in published articles in scientific/academic journals
• Experience developing comprehensive analyses using diverse data sources
• Willing to self-start, self-teach and research if you don’t know how to do something
• Strong communication/interest in understanding the whole business and collaborating across multiple functions

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, age, national origin or disability.