[All remote jobs](https://jobicy.com/jobs.md)[![Lyra Health logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2022/01/1594f6d9649b131ca2414928bd60caac.jpeg)](https://jobicy.com/company/lyra-health.md)[Lyra Health](https://jobicy.com/company/lyra-health.md)

# Clinical Product Specialist, AI Development

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/lyra-health.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 106k–162,500 / yrDepartment[Healthcare & Medical](https://jobicy.com/categories/healthcare.md)EmploymentFull TimeExperienceOpen levelPublished28 Oct 2026Apply before27 Nov 2026Listing views71Application actions5Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Lyra Health seeks a clinical scientist to guide the development and evaluation of AI-powered mental health product features. The role combines clinical psychology, research methodology, generative-AI evaluation, clinical risk management, and cross-functional product collaboration. The specialist will translate evidence-based care standards into product requirements, assess feature performance, and support post-deployment monitoring. Candidates need a PsyD or PhD in clinical psychology, experience with digital mental health tools, and strong knowledge of approaches such as CBT, ACT, and DBT. This is a remote, full-time US role focused on responsibly scaling evidence-based mental healthcare.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThe position requires doctoral-level clinical expertise alongside the ability to apply research rigor to emerging generative-AI systems. It also carries substantial responsibility for clinical safety, product quality, and translating nuanced clinical requirements for technical teams.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate$134,250US market range (per year)$105k–$170k0$187.00k

AI insightLyra discloses an annual US base-salary range of $106,000–$162,500, with a midpoint of $134,250. The estimated US market range for a doctoral-level clinical product specialist working on digital mental health and AI is $105,000–$170,000 annually; actual pay may vary by licensure, clinical AI experience, seniority, and location.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Clinical psychology](https://jobicy.com/jobs?search_keywords=Clinical%20psychology.md)[Clinical research methods](https://jobicy.com/jobs?search_keywords=Clinical%20research%20methods.md)[Generative AI](https://jobicy.com/jobs?search_keywords=Generative%20AI.md)[Digital mental health](https://jobicy.com/jobs?search_keywords=Digital%20mental%20health.md)[Evidence-based practice](https://jobicy.com/jobs?search_keywords=Evidence-based%20practice.md)[CBT](https://jobicy.com/jobs?search_keywords=CBT.md)[ACT](https://jobicy.com/jobs?search_keywords=ACT.md)[DBT](https://jobicy.com/jobs?search_keywords=DBT.md)[Clinical risk management](https://jobicy.com/jobs?search_keywords=Clinical%20risk%20management.md)[AI product evaluation](https://jobicy.com/jobs?search_keywords=AI%20product%20evaluation.md)[Product requirements](https://jobicy.com/jobs?search_keywords=Product%20requirements.md)[Prompt engineering](https://jobicy.com/jobs?search_keywords=Prompt%20engineering.md)[Cross-functional collaboration](https://jobicy.com/jobs?search_keywords=Cross-functional%20collaboration.md)[Health equity](https://jobicy.com/jobs?search_keywords=Health%20equity.md)[Technical communication](https://jobicy.com/jobs?search_keywords=Technical%20communication.md)

Sample interview questionsHow would you evaluate whether a generative-AI feature is clinically appropriate for a mental health product?I would begin by defining the intended clinical use, target population, contraindications, and potential harms. I would translate evidence-based standards into testable requirements, use structured clinical review and scenario-based evaluation, assess safety and quality metrics, and establish post-launch monitoring with clear escalation pathways.

How have your clinical research skills prepared you to work on AI-enabled products?

Clinical research training supports careful hypothesis formation, operational definitions, study design, interpretation of evidence, and transparent communication of limitations. I would apply these skills to evaluate model outputs, feature performance, user outcomes, and safety signals rather than relying on anecdotal impressions.

How would you communicate a clinical safety concern to engineering and product partners?

I would describe the concern in concrete, user-centered terms, explain the clinical rationale and severity, provide representative scenarios, and propose measurable acceptance criteria. I would collaborate on feasible mitigations while documenting residual risk and defining the evidence needed before release.

What considerations are important when designing AI tools for users with high clinical severity?

The product should clearly define its scope and limitations, avoid unsupported clinical claims, identify crisis or deterioration signals, and provide appropriate escalation and human-support pathways. Evaluation should include diverse and higher-risk scenarios, with ongoing monitoring for unsafe outputs, access barriers, and disparate impacts.

How would you ensure that an AI-supported mental health feature is culturally responsive?

I would involve diverse clinical and lived-experience perspectives throughout design and evaluation, test content across relevant populations and contexts, and examine outcomes for potential bias or unequal performance. Cultural responsiveness should be a product requirement with measurable review criteria, not only a final-stage consideration.

Opportunity details

## About this role.

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

### Responsibilities

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

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

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

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

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

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

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

### Qualifications

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PsyD or PhD in clinical psychology

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Current clinical licensure is preferred

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

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

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

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

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Prior experience in these areas is a plus

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

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

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

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

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

### Compensation

As a full-time Clinical Product Specialist, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $106,000- $162,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.

Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:

Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
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
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!

We can’t wait to meet you.

### Additional Information

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](https://www.lyrahealth.com/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](https://privacy-central.securiti.ai/#/dsr/be61bec1-10a5-47ac-94ab-3055974aefb1). 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](mailto:globaldpo@lyrahealth.com). For more information about how we use and retain your information, please see our [Workforce Privacy Notice](https://www.lyrahealth.com/workforce-privacy-notice/).”

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