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Sr. AI Insights Engineer

Remote: 
Full Remote
Contract: 
Salary: 
115 - 141K yearly
Experience: 
Senior (5-10 years)
Work from: 

agilon health logo
agilon health Scaleup http://agilonhealth.com
501 - 1000 Employees
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Job description

Company:
AHI agilon health, inc.

Job Posting Location:
Remote - USA

Job Title:
Sr. AI Insights Engineer

Job Description:

Position Summary: 

As an AI Insights Engineer at agilon health, you will support AI products within agilon’s Tech Group by analyzing their real-world performance and communicating results to stakeholders. The AI Team develops prioritization models, unstructured data pipelines, clinical suspect identification, and clinical risk models. In this role, you will study how these models function in our population, and you will develop the analyses and dashboards needed to monitor their success in the organization. You will work closely with stakeholders across the organization to understand the clinical, business, and technical requirements, and be responsible for the communicating the impact that AI products provide at agilon.  

Essential Job Functions: 

  • Build dashboards and analyzes to monitor AI product impact and communicate the insights across the organization. 
  • Create analytical data models and pipelines to support AI products. 
  • Support development of machine learning and deep learning models by analyzing and preparing structured and unstructured healthcare data.  
  • Collaborate with Insights Engineering, Clinical Analytics, and Centralized Operations teams to drive real-world outcomes.  
  • Contribute to the development of our AI products in a fast-paced, agile environment. 

Required Qualifications:  

Minimum Experience 

  • 5+ Years of experience in a related field, including Analytics, Data Science, or Data Engineering.  

Education/Licensure 

  • Bachelor’s and/or master’s in a quantitative field, such as Computer Science, Data Science, or Mathematics. 
Location:
Remote - MA

Pay Range:
$115,100.00 - $140,900.00

Salary range shown is a guideline. Individual compensation packages can vary based on factors unique to each candidate, such as skill set, experience, and qualifications.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication

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