Life Scientist Content Analyst

Job Summary:

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.

Job 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.

Job 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.

First 90 days

1. Days 1–30: learn business definitions, sources and review requirements; shadow representative tasks and practice AI use and verification.
2. Days 31–60: independently deliver a set of pipeline, approval, news research or comparison tasks with traceable outputs that pass review.
3. Days 61–90: own a stable task queue, maintain an exception log, and propose and validate an AI workflow or quality improvement.

Collaboration and application

Work with Content business leads and data and engineering colleagues to deliver assigned tasks. Please submit a Chinese or English resume. You may include an AI application example describing the task, steps and verification method.