MSc in Data Science, Computer Science, Bioinformatics, or related field (or equivalent practical experience)
Strong Python skills
Hands-on experience building RAG systems or LLM-powered applications (using LangChain, LlamaIndex, or similar frameworks)
Experience integrating LLM APIs (Google Gemini, OpenAI, or similar) we work primarily through Google Vertex AI
Working knowledge of vector databases (ChromaDB, Weaviate, Qdrant, Pinecone, or similar)
Cloud platform experience (Google Cloud Platform preferred, especially Vertex AI)
Docker and containerized deployments
Strong software engineering fundamentals SOLID principles, clean code practices, design patterns, testing, version control (Git), code review
Comfortable using AI-assisted development tools (e.g. Gemini CLI, GitHub Copilot) and critically evaluating what they produce
Strongly Preferred
Experience with agentic AI patterns multi-agent orchestration, tool use, autonomous workflows (LangGraph, Google ADK, or similar)
Document processing experience extracting and parsing data from PDFs and Word/DOCX files programmatically
Understanding of LLM evaluation principles and output quality assessment (BLEU, ROUGE etc, code execution metrics, or similar)
Data science fundamentals Pandas, NumPy, scikit-learn, statistical analysis, data visualization
Prompt engineering and optimisation techniques
Streamlit application development
Nice to Have
Domain Knowledge:
Clinical trials or pharmaceutical industry experience
Familiarity with clinical data standards
Awareness of regulatory and data privacy requirements in life sciences
Infrastructure & DevOps:
Terraform or infrastructure-as-code experience
CI/CD pipeline design (GitHub Actions or similar)
Knowledge Graphs:
Neo4j, Cypher query language
NetworkX for graph analytics
Graph-based RAG or knowledge extraction
AI/ML:
Experience with LLM-driven code generation
LLM fine-tuning experience (e.g. LoRA, PEFT, RLHF, Vertex AI model tuning, or similar approaches)
NLP and text processing (HuggingFace Transformers, Sentence-Transformers)
PyTorch or TensorFlow (for custom model work if needed)
Google ADK (Agent Development Kit) or Vertex AI Agent Builder
Model Context Protocol (MCP) for tool integration and interoperability
Other:
Frontend experience (React, TypeScript)
FastAPI or Flask REST API development
PostgreSQL or similar relational databases
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