Job Description

We're seeking a

Senior

Data Scientist

to lead the development of advanced AI solutions that power deep research, scientific reasoning, and strategic decision-making. You'll work with

large language models (LLMs)

,

retrieval-augmented generation (RAG)

systems, and

Graph-RAG architectures

to create intelligent tools that extract and synthesize insights from complex, unstructured data.

This role is ideal for someone who thrives at the intersection of machine learning, knowledge representation, and real-world impact, and who is excited to help shape the future of how research is conducted in global health, legal, scientific, and financial domains.

What You'll Do

Design and develop

LLM-powered applications

for tasks such as document analysis, summarization, knowledge extraction, and reasoning. Build and optimize

RAG pipelines

with custom retrieval logic, vector databases, and hybrid search strategies. Implement and integrate

knowledge graphs

into AI systems for enhanced explainability and structured reasoning (

Graph-RAG

). Own the full pipeline from data ingestion and preprocessing (e.g., PDFs, scientific papers, grant documents) to model deployment. Collaborate with engineers and domain experts to define requirements, evaluate outputs, and iterate rapidly.

What You Bring

B.Sc or M.Sc. in Data Science, Computer Science, or related field. Proven experience with

LLMs

, including prompt design, fine-tuning, and evaluation. Strong understanding of

retrieval-based systems

(e.g., FAISS, Weaviate, Elasticsearch, Pinecone). Experience with

LangChain

,

LlamaIndex

,

HuggingFace Transformers

, and

PyTorch

. Familiarity with

knowledge graph design and integration

(e.g., Neo4j, RDF, NetworkX). Solid software engineering practices and hands-on coding ability in

Python

. Experience with cloud-based or on-prem AI deployments, ideally in secure or hybrid environments. Ability to lead projects independently, collaborate cross-functionally, and explain complex technical concepts clearly.

Nice to Have

Familiarity with

Graph-RAG

,

Anthropic's MCP

, or agentic system orchestration. Experience working with sensitive, domain-specific data (e.g., healthcare, global development, legal). Contributions to open-source projects, publications, or technical blogs. Knowledge of scientific reasoning, ontologies, or structured metadata in research workflows.

Why Join Us

Shape the next generation of

AI research tools

grounded in real-world needs. Join a fast-paced, mission-driven team with opportunities to own high-impact projects. Flexible, remote-friendly environment with strong learning and innovation culture.
Job Type: Full-time

Pay: $70,000 - $100,000 CAD per year

Job Type: Full-time

Pay: $70,000.00-$100,000.00 per year

Benefits:

Extended health care * RRSP match