Data Scientist (Agentic AI)

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

Job summary

A leading AI firm in Boston is looking for a Data Scientist to develop intelligent AI agents and retrieval systems for their clinical platform. The ideal candidate will design systems capable of multi-step reasoning, build agent frameworks to handle complex workflows, and optimize performance using deep learning tools. A strong foundation in PyTorch and multi-agent systems is required, along with excellent communication skills. This role offers the opportunity to innovate within healthcare technology.

Qualifications

• Strong foundation in deep learning frameworks like PyTorch.
• Experience building agents or multi-step reasoning systems.
• Familiarity with retrieval systems and vector databases.

Responsibilities

• Design AI agents for multi-step clinical reasoning.
• Develop multi-agent systems for complex analysis.
• Implement pipelines for structured extraction from clinical documents.

Skills

Deep learning frameworks (PyTorch)

Building LLM-powered agents

Python proficiency

Communication skills

Education

Master's degree in Computer Science, Machine Learning, or related field

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
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Preferred

• Master's degree in Computer Science, Machine Learning, or related quantitative field (PhD preferred)
• Public 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