远程工作雷达

数据科学总监

Director of Data Science

其他全球可投
公司oasishealthpartners
薪资未公开
工作地点Remote
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间2 天前
数据来源Greenhouse
前往企业招聘页投递 →
全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

你是什么样的人

你热衷于利用数据、机器学习/AI 和运营执行来改善患者结果。你的职责是建立一个世界级的数据科学团队,开发、部署和维护数据集市和机器学习模型,这些模型还能评估我们的临床干预措施的影响。你是一位关注结果和影响力的领导者。你是一位善于协作的领导者,能够弥合临床策略、运营执行和技术之间的差距。你拥有丰富的健康计划(理赔、资格、药房)和临床(电子病历、健康信息交换)数据经验。你可以在 DBT 中构建数据集市,并利用这些数据集市构建新的机器学习模型。

我们是谁

Oasis Health Partners(Oasis)是独立初级保健诊所的一站式合作伙伴。我们专注于基于价值的医疗保险计划,包括医疗保险优势计划和 MSSP,并为诊所提供实际支持,使他们能够更好地提供护理,同时打造持久、独立的业务。

我们的模式帮助医生将更多时间用于对老年人的主动、高价值护理,而 Oasis 则在幕后提供数据、工具和团队来支持他们。我们正在建立一个快速增长的独立 PCP 和 IPA 网络,由领先的医疗投资者支持,并随着我们扩展提供商解决方案的范围而进入新市场。我们致力于保持独立医学的强大——我们正在寻找希望与我们共同建设未来的伙伴。

我们将一起大胆推进最需要的初级保健。我们期待你加入我们这段旅程。我们邀请你成为 Oasis 的一员,在这里你将发现我们做正确的事,一起建设,全力以赴——同时享受乐趣!

你的角色

作为数据科学总监,你将:

  • 负责我们的机器学习战略和执行
  • 与技术团队、临床和运营团队合作,实施最佳的临床干预措施
  • 在 DBT 中建立分析数据模型
  • 识别我们可以用来识别/风险分层患者以进行干预的数据源,并了解我们项目的影响力
  • 构建预测模型以识别高风险患者
  • 利用 AI/大语言模型提升患者和医护人员的参与度
  • 分析我们从保险公司和提供者处获得的临床数据
  • 分析临床项目表现
  • 分析流程和运营数据
  • 构建分析层
查看英文原文

Who You Are

You are passionate about leveraging data, machine learning/AI and operational execution to improve patient outcomes. Your mandate will be to build a worldclass data science function that develops, deploys and maintains data marts and machine learning models that can also assess the impact of our clinical interventions. You’re a leader who cares deeply about outcomes and impact.  You are a collaborative leader who can help bridge the gap between clinical strategy, operational execution and technology. You have rich experience with health plan (claims, eligibility, pharmacy) and clinical (EMR, HIE) data. You can build data-marts in DBT and leverage those data marts to build new machine learning models.

Who We Are

Oasis Health Partners (Oasis) is an all-in-one partner for independent primary care practices. We focus on Medicare value-based care programs, including Medicare Advantage and MSSP, and surround practices with the practical support they need to deliver better care while building durable, independent businesses.

Our model helps physicians spend more time on proactive, high-value care for seniors while Oasis brings the data, tools and team to support them behind the scenes. We are building a fast-growing network of independent PCPs and IPAs, backed by leading healthcare investors and scaling into new markets as we expand our suite of provider solutions. We are committed to keeping independent medicine strong — and we are looking for people who want to build that future with us.

Together, we will boldly advance primary care for those that need it most. We are excited for you to join us on this journey. We invite you to be a part of Oasis, where you will discover we do the right thing, build things together and go all in --- all while having fun!

Your Role

As a Director of Data Science, you will:

  • Own our machine learning strategy and execution
  • Collaborate within the tech team, clinical, and operations to implement best-in-class clinical interventions
  • Set up analytics data models in DBT
  • Identify additional sources of data we can use to identify / risk stratify patients for intervention, and understand the impact of our program
  • Build out predictive models to identify high risk patients
  • Utilize AI/LLMs to advance patient and provider engagement
  • Analyze clinical data we receive from payors and providers
  • Analyze clinical program performance
  • Analyze workflow and operational data
  • Develop the analytics layer to support executive and operational dashboards

Investment In Our Team

We invest in the personal and professional success of our team. We take care of our people and offer robust benefits including medical, dental, vision, 401k, and generous time off plans. We are committed to supporting your growth with a development program that starts with onboarding and continues throughout your career. As an inclusive, passionate, and diverse team, you will partner with professionals who understand the importance of high-value, high-impact patient care.

We invite you to be a part of Oasis, where you will discover we listen first, build things together, always do the right thing, have fun and most importantly, are all in!

About You

  • Minimum 8 years of experience in healthcare analytics with hands-on expertise in real-world data
  • Minimum 3 years of experience leading data science teams in healthcare
  • Advanced SQL skills for complex data analysis and reporting
  • Advanced Python skills for building and productionalizing machine learning models
  • Experience in developing impactful BI reports and dashboards for end-users
  • Quick learner with a demonstrated ability to adapt to new technologies
  • Comfortable working in the ambiguity and rapid change of a startup environment
  • Excellent communication skills for effective collaboration with technical and non-technical teams, including operational and clinical teams
  • Ability to manage and prioritize multiple tasks and projects effectively

Preferred Experience

  • Previous experience at a health plan or Managed Service Organization
  • Familiarity with Medicare Advantage populations and their unique healthcare needs
  • Background in value-based care organizations
  • Experience with the Oasis data stack, including AWS, DBT, and Snowflake

The salary range listed reflects the full compensation range for this role level at Oasis and is designed to support growth over time. Actual offers may vary based on a candidate’s skills, experience, and alignment with the scope of the role. Offers near the top of the range are uncommon and generally reflect exceptionally deep, directly relevant experience.

At this time, we are unable to sponsor employment visas. Candidates must be authorized to work in the United States without a current or future visa sponsorship. This role is open to applicants currently residing in the United States.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status, or disability status.

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