临床产品专家，AI开发

About Lyra Health

Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed 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. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.

About the Role

We are looking for a clinical scientist who is passionate about leveraging state of the art technology, particularly artificial intelligence, to significantly expand access to evidence-based mental health interventions. This role will apply clinical expertise, innovative thinking, and scientific rigor and will contribute directly to developing Lyra’s AI-powered tools.

Lyra is at the forefront of increasing access to evidence-based, efficacious mental health services on a large scale by leveraging technology and clinical excellence. Lyra has developed innovative  blended models of coaching and psychotherapy that combine leading clinical expertise with routine outcomes monitoring and engaging clinical tools. Scientific publications on Lyra’s mental health coaching, psychotherapy, medication management, and workforce mental health programs provide strong evidence for the clinical effectiveness of these programs.

You will be part of a highly skilled and collaborative team with an established track record of cross-functional collaboration for the development of clinical technology in industry settings. By directly reaching millions of clients, your work will help create meaningful positive change on a large scale

Note on Generative AI for Applicants

While this role is dedicated to the clinical application of generative AI, we are seeking the unique clinical expertise and nuanced clinical judgment that only highly-trained clinicians can provide. As such, we ask that you do not use generative AI to develop your application materials (including cover letter) or when responding to interview questions.

"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.

By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."

Responsibilities

• Functioning at the intersection of clinical research, clinical expertise, and technological advancement in generative AI

• Drawing upon rigorous clinical and scientific standards to inform and execute clinical AI development and evaluation methods

• Leveraging clinical expertise and the latest science on evidence-based approaches to AI in mental health to inform clinical product development

• Supporting AI-powered feature development across the product life cycle, including design and conceptualization, specifying requirements, evaluating feature performance, and monitoring post-deployment

• Communicating clinical considerations and requirements to cross-functional teams and validating their integration

• Collaborating extensively with cross-functional technical and clinical teams to achieve shared objectives

• Staying informed of the latest developments in clinical AI research evidence and communicating insights to cross-functional partners

Qualifications

• PsyD or PhD in clinical psychology

• Current clinical licensure is preferred

• Strong foundational skills in clinical research methods and readily able to apply those methods to generative AI-focused work

• 1+ year of experience with developing and/or evaluating digital mental health tools and interventions

• Strong verbal and written communication skills, with an emphasis on communicating highly technical concepts to interdisciplinary and non-technical audiences

• Strong interest in developing deep knowledge and skills in AI-related technical domains such as ML and prompt engineering

• Prior experience in these areas is a plus

• Excellent training in and deep understanding of evidence-based mental health intervention approaches, for example CBT, ACT, DBT

• Strong training in managing clinical risk and/or experience with high severity clinical populations

• Passionate about disseminating evidence-based mental health care by leveraging technology on a large scale

• Deep commitment to culturally responsive care and health equity; specialized training in this area and experience with diverse populations are preferred

• Highly adaptable, creative problem solver, and thrives in a fast-paced, dynamic environment