Point your AI agent at freehire and let it find you a job.

Get the CLI →

Patsnap

NewBe an early applicant

Life Science data analyst intern

Posted Updated
Discussion

Summary

Internship on Patsnap's Synapse Content Team in Singapore: maintain drug pipeline, approval and special-review data by combining AI tools with life-science domain judgment. Day to day involves monitoring pipelines, verifying sources, comparing third-party data and keeping structured, traceable drug intelligence records.

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.

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.

What Intern Data Analytics jobs ask for — and how much of it you have →
Apply

See also

Data Analytics jobs by country — openings, pay and top skills →

Tailor your CV for this role?

We couldn't check your fit for this role — add a CV to your profile to see it next time.