Director of Data Science at Oasis Health Partners | Chicago, IL, US | Rezi

Director of Data Science at Oasis Health Partners

Director of Data Science

Oasis Health Partners · Chicago, IL, US

1 weeks ago

Director of Data Science

Oasis Health Partners · Chicago, IL, US

10 days ago
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About the Role

Oasis Health Partners is seeking a leader passionate about leveraging data, machine learning/AI, and operational execution to improve patient outcomes. The role involves building a world-class data science function to develop and deploy data marts and machine learning models, assessing the impact of clinical interventions. The ideal candidate is a collaborative leader who can bridge clinical strategy, operational execution, and technology, with extensive experience in health plan and clinical data.

Responsibilities

  • 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

Requirements

  • 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
  • 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
  • Must be authorized to work in the United States without current or future visa sponsorship
  • Must be currently residing in the United States

Skills

  • Data Science
  • Machine Learning
  • AI
  • DBT
  • SQL
  • Python
  • BI Reports
  • Dashboards
  • AWS
  • Snowflake

Location

  • United States

Work Type

  • Full-time

Experience Level

  • 8+ years in healthcare analytics
  • 3+ years leading data science teams

Salary/Compensations

  • Salary range 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.

Benefits

  • Medical
  • Dental
  • Vision
  • 401k
  • Generous time off plans

About the Company

  • Oasis Health Partners is an all-in-one partner for independent primary care practices, focusing on Medicare value-based care programs. They support practices with data, tools, and teams to deliver better care and build independent businesses. Oasis is building a fast-growing network of independent PCPs and IPAs, backed by leading healthcare investors, and is committed to keeping independent medicine strong.
  • Company values include: do the right thing, build things together, go all in, listen first, have fun.

Equal Opportunity

  • 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.