ML Engineer/Data Scientist

Full Description

We are looking for a skilled and motivated Senior ML Engineer to join our dynamic team at Quantori This position requires architecting and integrating multi-agent systems to support biomedical data retrieval and interpretation for target ideation, focusing on agentic workflows and tool compatibility. The role will be supported by an internal data scientist, e.g., coding tasks, data exploration, testing, etc.

Location:

USA, UK, EU

Responsibilities:

Architect multi-agent systems (supervisor, router, reasoning flow)

Develop/tune ML models

Ensure reproducibility, documentation

Communicate ML findings to clinical research

Integrate MCP server (potential)/other tools; ensure workflow compatibility

Develop agent decision policies

Diagnose reasoning gaps, refine routing logic

What we expect:

Proficiency in Python programming and experience with Python data science frameworks

Familiarity with common ML frameworks (e.g., PyTorch, Keras) and libraries (e.g., NumPy, scikit-learn)

Experience with LLM agents including tool using and reasoning, for instance, the combination of RAG solution and code interpreter

Experience with Multi-agent system architecture (e.g., LangGraph, ToolUniverse)

Experience with MCP tool integration and orchestration

Experience with API design and integration

Experience with tool wrapping and interoperability

Experience with Error handling and debugging (agentic workflows, logs)

Experience with Modular system design, performance constraints

Upper-Intermediate or higher level of English proficiency

Ability to work with external clients and strong communication skills, including presenting in webinars and conferences

Ability to mentor team members and assist in their professional development

Quick learner with the ability to adapt to new technologies, frameworks, and algorithms

Preferred Skills:Bioinformatics/drug development lifecycle domain knowledge

Knowledge Graphs (cypher)

Background in clinical development, health analytics, biostatistics

Real-world data experience (EHR, claims) and amiliarity with medical coding systems (ICD-10, Snomed, RxNorm, CPT, NDC)

Preferred Skills:Bioinformatics/drug development lifecycle domain knowledge

Knowledge Graphs (cypher)

Background in clinical development, health analytics, biostatistics

Real-world data experience (EHR, claims) and familiarity with medical coding systems (ICD-10, Snomed, RxNorm, CPT, NDC)

Preferred Skills: Bioinformatics/drug development lifecycle domain knowledge

Knowledge Graphs (cypher)

Background in clinical development, health analytics, and biostatistics

Real-world data experience (EHR, claims) and familiarity with medical coding systems (ICD-10, Snomed, RxNorm, CPT, NDC)

Preferred Skills: Bioinformatics/drug development lifecycle domain knowledge

Knowledge Graphs (cypher)

Background in clinical development, health analytics, biostatistics

Real-world data experience (EHR, claims) and amiliarity with medical coding systems (ICD-10, Snomed, RxNorm, CPT, NDC)

Preferred Skills:

Bioinformatics/drug development lifecycle domain knowledge

Knowledge Graphs (cypher)

Background in clinical development, health analytics, biostatistics

Real-world data experience (EHR, claims) and amiliarity with medical coding systems (ICD-10, Snomed, RxNorm, CPT, NDC)

We offer:

Competitive compensation

Remote or office work

Flexible working hours

Healthcare benefits: medical insurance and paid sick leave

Continuous education, mentoring, and professional development programs

A team with excellent tech expertise

Certifications paid by the company