Life Science data analyst intern

PatSnap; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

PatSnap is seeking a Life Scientist Content Analyst in Singapore to combine AI tools with domain judgment, maintaining drug pipelines and development status. You will review and validate information, ensuring accuracy and traceability for global regulatory contexts.

You will monitor updates, verify sources, and document findings while collaborating with China-based colleagues. Proficiency in Excel and strong attention to detail are essential for success.

Qualifications

• Undergraduate degree in life sciences, pharmacy, medicine, information science, data analysis or related field.
• Master's degree preferred for advanced research and analysis.
• Ability to verify AI outputs and retain source evidence.

Responsibilities

• Monitor pipelines, development stages, milestones; perform monthly checks.
• Maintain approval info for China, Japan, and cross-regional reviews with sources and dates.
• Identify drug developments from news and public databases; extract and record facts.

Skills

AI proficiency

Data verification

Excel/data tools

Chinese language

Task decomposition

Documentation & records

Education

Undergrad degree in life sciences

Master's preferred

Job description

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 elevate 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.

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.