Graduate Trainee – AI Use Case Analyst

DGXPComplianceLab

Hyderabad

Sur place

INR 250 000 - 400 000

Plein temps

14 jours+

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Résumé du poste

AI Solutions in Hyderabad seeks a Graduate Trainee – AI Use Case Analyst to explore how AI can assist pharmaceutical teams. You will document current processes, identify pain points, and prepare data inventories and sample datasets for analysis.

You will also support prototype testing with users and summarise findings in use-case briefs, developing practical experience in AI applications for pharma workflows.

Qualifications

  • Degree in data science, computer science, pharmacy or life sciences required.
  • Basic Python or data-analysis skills expected.
  • Interest in AI and pharmaceutical processes.
  • Clear writing and good communication abilities.

Responsabilités

  • Explore AI use cases in quality, manufacturing and regulatory domains.
  • Document current processes and identify pain points.
  • Prepare data inventories and sample datasets for analysis.
  • Support prototype testing with users to validate ideas.
  • Summarise findings in concise use-case briefs.

Connaissances

Degree in data science
Degree in computer science
Degree in pharmacy or life sciences
Basic Python
Data-analysis
Clear writing
Interest in AI and pharmaceutical

Formation

Data science / CS / Pharmacy / Life sciences degree

Description du poste

AI Solutions · Ref DGXP-JOB-2026-019 · 3 positions

Graduate Trainee – AI Use Case Analyst

Explore where AI helps pharmaceutical teams and prepare structured use-case documentation.

  • Research AI use cases in quality, manufacturing and regulatory
  • Document current processes and pain points
  • Prepare data inventories and sample datasets
  • Support prototype testing with users
  • Summarise findings in use-case briefs
Required skills
  • Degree in data science, computer science, pharmacy or life sciences
  • Basic Python or data-analysis skills
  • Interest in AI and pharmaceutical processes
  • Clear writing
Preferred skills
  • Hands-on project with LLMs or machine learning
Project / industry exposure
  • Document intelligence, search and analytics use cases
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