Data Scientist (Agentic AI)

Bioscope AI; Boston (MA); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading AI healthcare company in Boston is seeking a Data Scientist to design and build intelligent AI agents for clinical applications. The role requires expertise in deep learning frameworks, Python programming, and experience with multi-step reasoning systems. The candidate will work on developing multi-agent systems, document processing, and optimizing AI performance in complex clinical environments. A Master's or PhD in a relevant field is preferred, along with strong communication skills.

Qualifications

• Strong foundation in deep learning frameworks.
• Experience building LLM-powered agents or multi-step reasoning systems.
• Familiarity with agent frameworks and tool-use patterns.

Responsibilities

• Design and build AI agents capable of multi-step clinical reasoning and tool use.
• Develop multi-agent systems that coordinate specialized AI components.
• Implement document understanding pipelines for structured extraction.

Skills

Deep learning frameworks (PyTorch)

Building LLM-powered agents

Retrieval systems

Proficiency in Python

Excellent communication skills

Education

Master's degree in Computer Science

PhD in relevant field

Tools

Modern ML development tools

Job description

About The Role

We're looking for a Data Scientist to build intelligent AI agents and retrieval systems that power our clinical platform. You'll design multi-step reasoning systems, agent architectures, and the underlying knowledge infrastructure that enables AI to autonomously navigate complex clinical workflows.

What You'll Do

• Design and build AI agents capable of multi-step clinical reasoning and tool use
• Develop multi-agent systems that coordinate specialized AI components for complex analysis
• Build intelligent retrieval and RAG systems that ground agent actions in relevant patient data
• Create agent orchestration frameworks that handle diverse clinical workflows
• Implement document understanding pipelines for structured extraction from clinical documents
• Optimize agent performance, reliability, and cost efficiency

Qualifications

Required

• Strong foundation in deep learning frameworks (PyTorch) and LLM architectures
• Experience building LLM-powered agents or multi-step reasoning systems
• Familiarity with agent frameworks and tool-use patterns
• Experience with retrieval systems, embeddings, and vector databases
• Proficiency in Python and modern ML development tools
• Ability to read and implement research papers
• Excellent communication skills

Preferred

• Master's degree in Computer Science, Machine Learning, or related quantitative field (PhD preferred)
• Publications in ML/AI/NLP venues (NeurIPS, ICML, ICLR, ACL, EMNLP)
• Experience with multi-agent coordination or orchestration systems
• Background in healthcare data or clinical workflows
• Experience with reinforcement learning for agent optimization (PPO, etc.)
• Familiarity with document processing and information extraction