Applied AI Researcher

midstream; United States; Remote; USD 90,000 - 150,000; Full time

Job summary

midstream seeks an experienced professional to develop applied AI systems that uncover opportunities in healthcare contracts, spending, and operations. You will collaborate with engineers, product, and domain experts to turn analyses into reliable workflows with measurable value.

Responsibilities include building AI agents, analyzing large datasets, and translating insights into automated processes, with emphasis on robust evaluation and cross-team collaboration in a fast-paced environment.

Qualifications

• 2–8 years of experience in applied AI, data science, machine learning engineering, or related field.
• Proficiency in Python and statistics, experimental design, and data modeling.
• Experience building, debugging, and improving LLM-powered agents or workflows.
• Ability to investigate unfamiliar data, form evidence-based hypotheses, and evaluate model performance systematically.
• Strong ownership, clear communication, and ability to work across technical and nontechnical teams in a fast-moving environment.

Responsibilities

• Build and improve AI agents that find opportunities across healthcare supply chain, pharmacy, and managed care.
• Analyze large, messy datasets to identify patterns, anomalies, and relationships relevant to pricing, contracts, underpayments, and negotiations.
• Translate expert-led analysis into automated workflows that improve the speed, accuracy, and scale of opportunity discovery.
• Develop information extraction and agent workflows for complex healthcare documents, then work with engineers to make successful approaches usable in a product.
• Set evaluation methods and performance measures, investigate failures, and improve models based on results.
• Collaborate with technical and domain teams to identify further automation opportunities and improve data models.

Skills

Python

Statistics

Experiment design

Data modeling

LLM workflows

Data analysis

Communication

Job description

Role overview

Develop applied AI systems that uncover and validate financial opportunities in complex healthcare contracts, spending, and operational data. You’ll work with engineering, product, and domain specialists to turn hands‑on analysis into reliable workflows, with success measured by both technical performance and the value identified.

Responsibilities

• Build and improve AI agents that find opportunities across healthcare supply chain, pharmacy, and managed care.
• Analyze large, messy datasets to identify patterns, anomalies, and relationships relevant to pricing, contracts, underpayments, and negotiations.
• Translate expert‑led analysis into automated workflows that improve the speed, accuracy, and scale of opportunity discovery.
• Develop information extraction and agent workflows for complex healthcare documents, then work with engineers to make successful approaches usable in a product.
• Set evaluation methods and performance measures, investigate failures, and improve models based on results.
• Collaborate with technical and domain teams to identify further automation opportunities and improve data models.

Requirements

• Roughly 2-8 years of experience in applied AI, data science, machine learning engineering, or a related field; demonstrated ability matters alongside tenure.
• Proficiency in Python and a solid grounding in statistics, experimental design, and data modeling.
• Experience building, debugging, and improving LLM‑powered agents or workflows.
• Ability to investigate unfamiliar data, form evidence‑based hypotheses, and evaluate model performance systematically.
• Sound technical judgment and a willingness to understand underlying data and failure modes, including when using AI tools.
• Strong ownership, clear communication, and the ability to work across technical and nontechnical teams in a fast‑moving environment.

Nice to have

• Interest in healthcare operations and applying emerging AI methods to complex, practical problems.