Life Science Data Analyst Intern

About the role

The Synapse Content Team at Patsnap is looking for a Life Science Data Analyst intern in Singapore. The role combines AI tools with domain judgment to maintain drug pipeline, development status, approval and special-review information, identify drug developments from public news and compare third-party data, validating sources and reviewing outputs to deliver accurate, traceable drug intelligence.

Key responsibilities

• Monitor company pipelines, development stages, program changes and key milestones, completing regular updates and monthly checks.
• Maintain approval information for China and Japan and special-review information across China, the US, Europe, Japan and Australia, recording sources, dates and verification results.
• Identify drug and program developments through news, public databases and regulatory sources, extracting facts and keeping structured records.
• Compare third-party information, flag conflicts, gaps and anomalies, verify evidence and escalate issues needing domain judgment.
• Use AI for research, extraction, normalization, summarization and comparison, maintaining reusable prompts, field rules and workflows.
• Maintain source entry points, operating instructions, exception examples and open-item lists, supporting team review and delivery acceptance.

Required profile

• Undergraduate degree in pharmacy, life sciences, medicine, information science, data analysis or a related field; Master's degree strongly preferred.
• Ability to verify AI outputs, spot hallucinations and omissions, keep evidence links and manually check uncertain conclusions.
• Ability to break recurring tasks into clear steps with defined inputs, outputs and review points.
• Verbal and written Chinese to work with China-based colleagues, plus reading Chinese and English public sources.
• Attention to detail, reliability and proactive communication.

Required skills

• Practical AI application: using mainstream AI tools for research, extraction and analysis, writing clear prompts.
• Proficiency with Excel or similar data tools.
• Preferred: exposure to drug databases, pipeline tracking, pharmaceutical news monitoring, regulatory research or third-party data validation; familiarity with basic queries, scripting or automation.