Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Data Scientist (Agentic AI)
Reads like a ML Engineer role: putting models into production.
Boston, MA, United States
Open 5 months, first seen by us 155 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting
What you’ll work on
Full postingWe're looking for a Data Scientist to build intelligent AI agents and retrieval systems that power our clinical platform.
Design and build AI agents for multi-step clinical reasoning and tool use
Develop multi-agent systems that coordinate specialized AI components
Build retrieval and RAG systems that ground agent actions in patient data
Create agent orchestration frameworks for diverse clinical workflows
Implement document understanding pipelines for structured extraction
From the employer’s posting
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.
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
What you’ll bring
All qualificationsCore experience
- Strong foundation in PyTorch and LLM architectures
- Experience building LLM-powered agents or multi-step reasoning systems
- Experience with retrieval systems, embeddings, and vector databases
- Proficiency in Python and modern ML development tools
- Familiarity with agent frameworks and tool-use patterns
Preferred experience
- PhD preferred
Qualification wording
Strong foundation in deep learning frameworks (PyTorch) and LLM architectures
Experience building LLM-powered agents or multi-step reasoning systems
Experience with retrieval systems, embeddings, and vector databases
Proficiency in Python and modern ML development tools
Familiarity with agent frameworks and tool-use patterns
Master's degree in Computer Science, Machine Learning, or related quantitative field (PhD preferred)
Education & alternatives
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)
Posting record
Report an errorOpen 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026155 days ago
- Recorded sightings
- 73
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Jan 14, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 155
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,381 similar postings that came down. Coming down is not always a hire.
bioscope%20ai is hiring
2 open jobs
- No new data jobs since June
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
Where the posting names them
- Experience with retrieval systems, embeddings, and vector databases - Proficiency in Python and modern ML development tools - Ability to read and implement research papers
Required - Strong foundation in deep learning frameworks (PyTorch) and LLM architectures - Experience building LLM-powered agents or multi-step reasoning systems
Your next step
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Boston, MA, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.