Sr. Data Scientist - AI Research

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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: 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 that work. We are looking for a self-driven, technical Data Scientist who cares about impact, ownership and innovation. In this role, you will work closely with Lyra’s Data, Product, Engineering, and Clinical teams on AI/ML initiatives that will enhance the experience of mental health patients and providers. This Data Scientist role can be filled remotely anywhere within the US, as well as locally in our Burlingame, CA headquarters. Please note that remote-based candidates must be physically located within the United States. Responsibilities Work closely with Lyra’s Data, Product, Engineering, and other associated 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 a preference for individuals who have experience in product analytics in the AI/ML space and have partnered with engineering and product teams in prior roles. 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. Willing to do whatever it takes to clean messy data prior to deriving insights. Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views. Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences). Preferred Qualifications Interest in public health a plus Experience with AI/ML R D, e.g. prompt engineering and RAG 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. "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 identit

关于Lyra Health Lyra Health是一家领先的循证心理健康护理提供商，与雇主合作，在全球范围内为超过2000万人提供服务，并通过健康计划和合作伙伴关系为超过1亿人提供服务。该公司已交付超过1500万次心理健康护理会话，发表了超过35项同行评审研究，并在可及性、临床有效性和成本效率方面提供了无与伦比的成果。广泛的同行评审研究证实，Lyra的变革性护理模式帮助人们以两倍的速度康复，并使整体医疗索赔成本每年减少26%。Lyra正在通过Lyra Empower变革获得改变生活的心理健康护理的途径，这是唯一一个完全集成的、AI驱动的平台，结合了最高质量的护理和技术解决方案。关于该职位：Lyra正在通过为会员、提供商和雇主创造无缝体验来变革心理健康护理。我们将公司及其员工与有效的心理健康提供商、治疗和教练计划连接起来。我们正在寻找一位自我驱动、技术型的数据科学家，关注影响力、主人翁精神和创新。在这个角色中，您将与Lyra的数据、产品、工程和临床团队密切合作，参与AI/ML计划，以增强心理健康患者和提供商的体验。该数据科学家职位可以在美国任何地方远程填补，也可以在我们位于加州伯灵格姆的总部本地工作。请注意，远程候选人必须实际位于美国境内。职责 与Lyra的数据、产品、工程和其他相关团队密切合作，增强Lyra平台以满足我们的提供商和客户的需求。成为我们收集的多样化数据源的专家，并与数据工程师合作构建将临床逻辑应用于原始数据的管道 提取可操作的见解，开发预测和生成模型，并实施严格的评估框架以支持产品迭代 完成内部和外部利益相关者的时间敏感的临时数据请求 资格 5年以上行业环境中的数据分析经验，优先考虑在AI/ML领域具有产品分析经验并在之前角色中与工程和产品团队合作过的个人。具有跨技术、业务和（理想情况下）临床领域跨职能利益相关者合作的经验 展示对统计应用和方法的理解（实验、概率、回归）。在行业或研究环境中应用假设检验的经验。使用来自不同来源的不规则数据开发全面分析的经验。愿意不惜一切代价在推导见解之前清理混乱数据。强大的SQL熟练度。具有编写涉及多个模式和表的复杂查询的经验。优先考虑具有创建视图经验的候选人。研究生级别的统计学课程，定量领域硕士学位优先（统计学、计量经济学、生物统计学、定量社会科学）。首选资格 对公共卫生的兴趣是一个加分项 具有AI/ML研发经验，例如提示工程和RAG 具有Python经验，包括清理和分析数据，以及使用Python解析JSON结构化数据、调用API、创建用户定义函数和自动化。"我们是一个平等机会雇主。我们不会基于种族、肤色、宗教、性别（包括怀孕）、国籍、年龄、残疾、遗传信息或任何其他受法律保护的类别进行歧视。通过申请此职位，您确认您的个人信息将根据Lyra Health劳动力隐私声明进行处理。通过此申请，在法律允许的范围内，我们将从您那里收集个人信息，包括但不限于您的姓名、电子邮件地址、性别认同

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