Applied AI Researcher

Midstream Health

. Develop and continuously improve AI agents that identify and validate financial opportunities across healthcare supply chain, pharmacy, and managed care .

Posted 11/3/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI agents for financial opportunities in healthcare, with strong proficiency in Python and a solid foundation in statistics and data modeling. Capable of translating complex analyses into AI-powered solutions while collaborating effectively across technical and non-technical teams.

Highest-signal resume keywords

Python ProficiencyData Science ExperienceMachine Learning EngineeringLLM-Powered Agent DevelopmentHealthcare Data Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine Learning EngineeringAI EngineeringStatistical AnalysisData ModelingInformation ExtractionPerformance Metrics DefinitionModel TestingDebuggingContract Optimization

Soft Skills

Analytical CuriosityTechnical JudgmentInitiativeCollaborationAdaptability

Industry Keywords

Healthcare Supply ChainPharmacyManaged CareFinancial OpportunitiesEmerging TechnologyEvaluation FrameworksPerformance ImprovementNegotiation OpportunitiesComplex Healthcare DocumentsData Analysis

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop and continuously improve AI agents that identify and validate financial opportunities across healthcare supply chain, pharmacy, and managed care
Investigate large, messy healthcare datasets to uncover patterns, anomalies, and relationships
Develop models and analytical approaches for pricing discrepancies, contract optimization, underpayments, and negotiation opportunities
Translate complex manual analyses into reliable AI-powered capabilities
Develop information-extraction approaches and agentic workflows for complex healthcare documents
Collaborate with Engineering to turn research into scalable product capabilities
Define evaluation frameworks and performance metrics
Test, debug, and improve models and agents
Partner with Engineering, Product, and domain experts to improve healthcare data modeling and platform automation

Requirements

What you’ll need

2–8 years of experience in data science, machine learning engineering, AI engineering, or related fields
Proficiency in Python
Solid foundation in statistics, experimental design, and data modeling
Experience building, debugging, and improving LLM-powered agents or workflows
Ability to design effective evaluations, identify failure modes, and systematically improve performance
Strong analytical curiosity and technical judgment
Ability to connect technical improvements to measurable business results
Ability to take initiative in fast-moving, ambiguous environments
Ability to collaborate across technical and non-technical teams
Interest in applying emerging technology to healthcare financial problems