Qualification:

• MSc in Data Science
• MSc in Computer Science
• MSc in Bioinformatics
• related field
• equivalent practical experience

Responsibilities:

• building RAG systems or LLM-powered applications
• integrating LLM APIs
• working with vector databases
• cloud platform experience with GCP and Vertex AI
• Docker and containerized deployments
• applying strong software engineering fundamentals
• using AI-assisted development tools critically

Additional responsibilities:

• evaluating AI-assisted development tool outputs

Nice to have:

• agentic AI patterns
• multi-agent orchestration
• tool use
• autonomous workflows
• LangGraph
• Google ADK
• document processing
• extracting and parsing data from PDFs and Word/DOCX files
• LLM evaluation principles
• output quality assessment
• BLEU
• ROUGE
• code execution metrics
• data science fundamentals
• Pandas
• NumPy
• scikit-learn
• statistical analysis
• data visualization
• prompt engineering
• prompt optimisation techniques
• Streamlit application development
• clinical trials experience
• pharmaceutical industry experience
• clinical data standards familiarity
• regulatory and data privacy requirements awareness
• Terraform
• infrastructure-as-code
• CI/CD pipeline design
• GitHub Actions
• Neo4j
• Cypher query language
• NetworkX
• graph-based RAG
• knowledge extraction
• LLM-driven code generation
• LLM fine-tuning
• LoRA
• PEFT
• RLHF
• Vertex AI model tuning
• NLP
• text processing
• HuggingFace Transformers
• Sentence-Transformers
• PyTorch
• TensorFlow
• Google ADK
• Vertex AI Agent Builder
• Model Context Protocol
• frontend experience
• React
• TypeScript
• FastAPI
• Flask REST API development
• PostgreSQL
• relational databases

More skills:

Python, RAG systems, LLM-powered applications, LLM APIs, vector databases, ChromaDB, Weaviate, Qdrant, Pinecone, Cloud platform, GCP, Docker, containerized deployments, software engineering fundamentals, SOLID principles, clean code practices, design patterns, testing, version control, Git, code review, AI-assisted development tools, Gemini CLI, GitHub Copilot