Principal Data Scientist at Oasis Health Partners

Job description

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 as well as assesses the impact of our clinical interventions. You care deeply about outcomes and impact. You are a deeply 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. Your Role The Principal Data Scientist creates the foundation for our data science platform. Your role will be to help lead the data and analytics function and own the predictive modeling capabilities end to end. You will need a deep understanding of the statistics behind the machine learning models as well as experience the ML Ops side to productionalize and scale model creation and maintenance. You will also join a “workstream” and provide analytical support for a domain at Oasis. This will involved close collaboration with Executive leaders, Operations, Clinical, Product, Finance and the rest of the tech team. This will also require building sophisticated analytical data models to help support the overall data needs of the organization. As a Principal Data Scientist, you will: Own our machine learning strategy and execution Build foundational infrastructure that will allow Oasis to scale its ML implementations Own MLOps Engineering – be able to automate, deploy, and monitor ML models Join an Oasis “workstream” and become the trusted analytics expert for that function. Build analytics data models in DBT to support underlying analytics 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 target patient cohorts 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 Health, 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 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.

Requirements

Must-haves

Own our machine learning strategy and execution
Build foundational infrastructure that will allow Oasis to scale its ML implementations
Own MLOps Engineering – be able to automate, deploy, and monitor ML models
Join an Oasis “workstream” and become the trusted analytics expert for that function.
Build analytics data models in DBT to support underlying analytics
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 target patient cohorts
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 invite you to be a part of Oasis Health, where you will discover we listen first, build things together, always do the right thing, have fun and most importantly, are all in!
Minimum 8 years of experience in healthcare analytics with hands-on expertise in real-world data
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

Nice-to-haves

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
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.

Application prep

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Keywords to mirror

machine learningaimlrestsqlpythonaws

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k