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The Neuropsychologist will provide neuropsychological evaluations, interpret test results, produce reports, and collaborate with care teams to ensure effective mental health treatment.

Provide neuropsychological evaluations, interpret assessments, oversee data collection by psychometrists, and collaborate with care teams to plan treatment.

The Neuropsychologist provides comprehensive evaluations for clients, interprets test results, completes detailed reports, and collaborates with care teams to inform treatment planning.

Provide neuropsychological evaluations, interpret test battery results, supervise psychometrists, and collaborate with mental health care teams for treatment planning.

Manage high-volume provider onboarding and training operations including facilitating live/asynchronous sessions, administering WorkRamp LMS, optimizing EHR/tech setups, tracking training engagement, owning lifecycle logistics, serving as provider liaison, identifying process improvements, and maintaining training materials in Salesforce, Zendesk, and Google Suite.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

Provide organizational-level wellbeing consultancy to international clients: assess needs, design scalable group learning interventions (workshops, webinars, leadership programs), manage programme delivery across regions, ensure clinical and commercial alignment, build client relationships, and support scoping, budgeting and quality assurance for L&D initiatives.

Provide psychological counseling via phone and chat, conduct workshops, and support executives with mental health concerns, requiring a psychology Master's degree and multilingual skills.

Lead architecture and technical strategy for Lyra's ML and generative AI platform. Design training, fine-tuning, and low-latency inference infrastructure (RAG, vector DBs), set ML/AI SDLC standards (dataset lineage, CI/CD, evaluation, monitoring), partner with cross-functional clinical and product teams, mentor senior engineers, deliver prototypes and critical code, and ensure secure, reliable production ML systems.

Build and maintain ML and generative AI tooling, training and inference platform services, model evaluation and testing frameworks, and APIs to expose ML products. Deploy and manage applications across the AI/ML SDLC, mentor teammates, and write production-quality code daily.