Life Science data analyst intern

Life Scientist Content Analyst

Synapse Content Team | Location: Singapore | Master’s degree; PhD preferred

Combine AI tools with domain judgment to maintain drug pipelines, development status, approval and special-review information, identify drug developments from public news, and compare third-party data. Validate sources and review outputs to deliver accurate, traceable drug intelligence.

Responsibilities

- Monitor company pipelines, development stages, program changes and key milestones; complete 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; extract relevant facts and maintain structured records.
- Compare third-party information, identify conflicts, gaps and anomalies, verify evidence and escalate issues requiring domain judgment.
- Use AI for research, extraction, normalization, summarization and comparison; maintain reusable prompts, field rules, Skills or workflows.
- Maintain source entry points, operating instructions, exception examples and open-item lists; support team review and delivery acceptance.

Requirements

Basic requirements

- A undergraduate degree in pharmacy, life sciences, medicine, information science, data analysis or a related field is required; Master degrees are strongly preferred.
- Practical AI application skills: use mainstream AI tools for research, extraction, organization or analysis, write clear prompts and provide relevant context.
- Ability to verify AI outputs, identify hallucinations, omissions and source mismatches, retain evidence links and manually check uncertain conclusions.
- Ability to break recurring tasks into clear steps, define inputs, outputs and review points, and improve AI use based on results.
- Ability to communicate in Chinese, verbally and in writing, to collaborate with China-based colleagues and discuss business and data issues; ability to read Chinese and English public sources and record facts, sources and dates accurately.
- Proficiency with Excel or similar data tools, attention to detail, reliability and proactive communication.
- Preferred qualifications
- Exposure to drug databases, pipeline tracking, pharmaceutical news monitoring, regulatory research or third-party data validation.
- AI projects, coursework or personal practice demonstrating the task, prompts, output verification and improvement process.
- Familiarity with basic queries, scripting or automation and an interest in developing reusable Skills and workflows.