Director of Data Science

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! 

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