Sr. Data Scientist - AI Research

Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and over 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published over 35 peer-reviewed studies, and achieved unmatched outcomes in access, clinical effectiveness, and cost efficiency. Research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs.

About the Role

Lyra is transforming mental health care by creating a frictionless experience for members, providers, and employers. We connect companies and their employees to mental health providers, therapy, and coaching programs. This role can be filled remotely anywhere within the US or locally in our Burlingame, CA headquarters. Remote-based candidates must be physically located within the United States.

Responsibilities

• Work closely with Lyra’s Data, Product, Engineering, and other teams to enhance the Lyra platform to serve the needs of our providers and clients.
• Become an expert in the diverse data sources we collect and partner with data engineers to build pipelines that apply clinical logic to raw data.
• Extract actionable insights, develop predictive and generative models, and implement rigorous evaluation frameworks to support product iterations.
• Complete time-sensitive ad hoc data requests for internal and external stakeholders.

Qualifications

• 5+ years of data analysis in an industry setting, with preference for experience in product analytics in the AI/ML space and collaboration with engineering and product teams.
• Experience collaborating with cross-functional stakeholders across technical, business, and (ideally) clinical domains.
• Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression).
• Experience applying hypothesis testing in an industry or research setting.
• Experience developing comprehensive analyses using irregular data from disparate sources.
• Willingness to clean messy data prior to deriving insights.
• Strong SQL proficiency, including writing complex queries with multiple schemas and tables, and experience creating views.
• Graduate-level Statistics coursework with an MS in a quantitative field preferred (statistics, econometrics, biostatistics, quantitative social sciences).

Preferred Qualifications

• Interest in public health.
• Experience with AI/ML R&D, e.g., prompt engineering and RAG.
• Experience with Python, including cleaning and analyzing data, parsing JSON-structured data, calling APIs, creating user-defined functions, and automation.

Pay

The anticipated annual base salary range for this full-time position is $128,000 to $197,000. Placement within the range depends on skills, qualifications, experience, and location. This role may also be eligible for discretionary bonuses.

Benefits

• Comprehensive healthcare coverage (medical, dental, vision, FSA/HSA, life, and disability insurance).
• Lyra for Lyrians: coaching and therapy services.
• Equity in the company through discretionary restricted stock units.
• Competitive time off with pay policies, including vacation, sick days, and company holidays.
• Paid parental leave.
• 401K with up to 3% matching.
• Monthly tech allowance.
• Well-being perks and activities, surprise swag, and regular community celebrations.