AI Lead (Healthcare/Clinical/Lifesciences)

Our client is looking  AI Lead project Remote below is the detailed requirements.

Job Title           :  AI Lead (Healthcare/Clinical/Lifesciences Domain)

Location           :  Remote

Duration          :  Contract

Job Description:

What you bring (required)

• Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of IT experience
• Strong understanding of clinical trial services/operations (or adjacent clinical operations workflows) and the ability to translate work into deployable AI solutions.
• Hands-on capability building production-minded prototypes (Python/SQL; AWS; Databricks and/or Dataiku; OpenAI).
• Applied GenAI experience (RAG, evaluation, guardrails, workflow integration, adoption enablement).
• Strong stakeholder engagement skills and ability to influence as a senior IC.
• Demonstrated ability to balance immediate business outcomes with long-term scalable capability building

What you'll do

• Identify high-leverage use cases: Target opportunities across DS operations (technical knowledge retrieval, investigation support, documentation acceleration, operational insights, exception triage, capacity/coordination decision support).
• Build prototypes and deliver MVPs: Create working solutions using AWS/Databricks/Dataiku/OpenAI, integrating operational data and documents into usable workflows.
• Data readiness and integration: Assess data availability/quality; define what's needed and influence how to get there (standard sources, access patterns, reusable pipelines).
• Roadmap ownership: Produce a capability roadmap with milestones, dependencies, and impact metrics.
• Balance quick wins vs foundations: Deliver what helps now while shaping patterns that will scale as the enterprise platform matures (reusable assets, integration standards, evaluation/monitoring, agent orchestration approaches).
• Vision and transition plan: Define the AI north star and a staged path from POCs to reusable capabilities to scaled delivery.
• Drive ChatGPT adoption: Build prompt libraries, playbooks, and training tied to real DS work; measure usage and outcomes.
• Stay current and apply responsibly: Keep pace with AI advances and translate them into practical, controlled, high-impact solutions suitable for client environments.

Nice to have

• Experience working with privacy/security constraints and controlled documents in clinical contexts.
• Experience supporting globally distributed operational teams.
• Practical GxP awareness and experience operating with controlled documents/data access.