senior data science engineer

ABOUT THE CLIENT

The company delivers digital and AI-driven solutions tailored for the life sciences and healthcare industries.

It provides end-to-end engineering, informatics, and data science services, leveraging deep scientific and technical expertise to build scalable, secure, and compliant digital platforms.

Core capabilities include:

• Artificial Intelligence and advanced analytics
• Scientific and Laboratory Informatics
• Development of custom laboratory software solutions
• Data Science and Data Engineering
• Solution Design, including modern data-management infrastructures for research environments
• Cloud Engineering with strong proficiency in GCP and AWS
• High-Performance Computing (HPC) platforms for workloads such as cell image analysis and molecular docking

PROJECT DETAILS

We are seeking a skilled and highly motivated Senior ML Engineer to join our team. The role involves architecting and integrating multi-agent systems to support biomedical data retrieval and interpretation for target ideation, with a strong focus on agentic workflows and tool interoperability. You will collaborate closely with an internal Data Scientist who will assist with coding tasks, data exploration, testing, and related activities.

YOUR TEAM

You will join a cross-functional group of Machine Learning Engineers, Data Scientists, and Software Engineers working at the intersection of AI, biomedical data, and large-scale computational workflows. The team collaborates closely with domain experts in biology, chemistry, and data engineering to design intelligent systems that accelerate scientific discovery.

WHAT'S IN IT FOR YOU

• Interview process that respects people and their time
• Professional and open IT community
• Internal meet-ups and resources for knowledge sharing
• Time for recovery and relaxation
• Bright online and offline events
• Opportunity to become part of our internal volunteer community

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

SKILLS

• 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 familiarity with medical coding systems (ICD-10, Snomed, RxNorm, CPT, NDC)

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