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Data Scientist; Agentic AI

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Bioscope AI
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Data Scientist (Agentic AI)

Overview

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
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