About the role
Requirements:
- Master's or PhD in data science, computer science, statistics, artificial intelligence, mathematics, bioinformatics, or a related discipline.
- 8-12 years of experience in data science, AI, machine learning, or advanced analytics.
- Proven experience leading AI/ML initiatives from ideation through production deployment.
- Extensive experience leading complex data science projects from end-to-end and driving significant business impact.
- Proven track record of working closely with senior leadership to inform and influence high-level strategic business decisions.
- Demonstrated experience in designing and implementing enterprise-wide data science frameworks and best practices.
- Experience mentoring teams and providing technical leadership.
- Experience in pharmaceutical, life sciences, healthcare, or other regulated industries preferred.
AI, ML, and Generative AI:
- Expertise in machine learning, deep learning, NLP, predictive modeling, and statistical analysis.
- Deep knowledge of LLMs, prompt engineering, fine-tuning, agentic AI, and AI application architecture.
- Experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, MCP, and AWS AgentCore.
RAG and Knowledge Graphs:
- Hands-on experience with RAG, Agentic RAG, GraphRAG, Hybrid Search, Vector Databases, and Semantic Retrieval.
- Experience with Neo4j, knowledge graphs, ontologies, and enterprise search platforms.
Programming and Engineering:
- Expert proficiency in Python.
- Strong experience with R; SAS knowledge preferred.
- Knowledge of APIs, microservices, CI/CD, GitOps, testing frameworks, and software engineering best practices.
Cloud, MLOps, and LLMOps:
- Experience with AWS, Azure, or GCP.
- Strong understanding of MLOps/LLMOps, model governance, monitoring, automation, Docker, and Kubernetes.
Visualization and Communication:
- Experience with Tableau, Power BI, R Shiny, Plotly, or equivalent visualization tools.
- Strong storytelling, presentation, and executive communication skills.
Additional Qualifications:
- Strong leadership, mentoring, and stakeholder management capabilities.
- Ability to balance strategic thinking with hands-on execution.
- Excellent communication and influencing skills.
- Proven innovation mindset and cross-functional collaboration skills.
- Experience supporting GxP-compliant systems and regulatory requirements is highly desirable.