AI in Healthcare & Pharma (Theory & Discovery)

AI in Healthcare & Pharma (Theory & Discovery)

The intern is a Research and discovery-oriented activity:Weeks 1-2: AI in Healthcare & Pharma (Theory & Discovery)Phase 1Goal: Understand how AI is transforming health and pharmaceutical industries.Activities: Literature review on AI in drug discovery, clinical trial optimization, and personalized medicine.Deliverable: A presentation or market research report mapping out 3 major AI use cases in pharma and their business impact.Weeks 3-4: AI-Driven Data Prep & TransformationPhase 2Goal: Use AI to clean, structure, and enrich a raw business dataset.Activities: Use LLMs (like ChatGPT/Claude) to write Python/SQL data cleaning scripts, use AI for automated data profiling, or leverage Power Query's AI insights (like "Column from Examples" and text analytics).Deliverable: A clean, optimized dataset ready for BI modeling, alongside a workflow document showing how AI speeded up the ETL (Extract, Transform, Load) process.Weeks 5-6: AI in UI/UX & Dashboard WireframingPhase 3Goal: Use AI as a design partner to map out data stories and dashboard layouts.Activities: Use AI prompts to generate dashboard design ideas, color palettes, and user personas (e.g., "Design a layout for a busy Sales Director").

Use tools like Figma AI or text-to-UI generators to sketch wireframes.Deliverable: A visual style guide and static wireframe mockups for the upcoming dashboard.Weeks 7-8: BI Implementation & Native AI AnalyticsPhase 4Goal: Build the final interactive dashboard and deploy native BI AI tools.Activities: Build the dashboard in Power BI or Tableau using the design from Phase

3.

Implement native AI features like Copilot for writing calculations/DAX, Smart Narratives for auto-generated text summaries, and automated key influencer visuals.Deliverable: A live, production-ready dashboard and a final presentation showing how AI assisted from raw data to final executive insights.Application Deadline: 10/7/2026Internship Start date: 20/7/2026Duration: 6 weeksPlace: New Cairo

willing to search, try and discover new things in AI, BI and data scienceStudents going to year 3 or 4 in any computer science / IT curriculum