Full Stack AI Engineer (Life Sciences)

PatSnap


Job Location:

Singapore - Singapore

Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

What Youll Do

  • Product Development: Responsible for developing and iterating intelligent products for the life sciences domain including full-stack implementation.
  • Workflow Optimization: Deeply understand business scenarios optimize data processing and business logic workflows and address the high accuracy and complexity requirements of the pharmaceutical vertical.
  • Technology Exploration: Continuously track the latest developments in the LLM ecosystem and quickly apply frontier models open-source tools and innovative ideas to daily development work and the product portfolio.

Qualifications

  • Education and Background: Bachelors degree or above in Computer Science Artificial Intelligence Bioinformatics or related fields. Exceptional technical enthusiasts from other backgrounds are also welcome.
  • AI Native Mindset: Strong AI-native thinking; proficient in prompt engineering; familiar with mainstream large language model (LLM) API integration; heavy daily user of AI tools.
  • Engineering Capability: Solid Python foundation; proficient in at least one modern frontend framework such as React or Vue; capable of independently delivering full-stack solutions covering frontend backend and large language model integration.

Preferred Qualifications

  • Academic background or project experience in biomedicine pharmaceuticals life sciences or related fields.

Required Experience:

IC

What Youll DoProduct Development: Responsible for developing and iterating intelligent products for the life sciences domain including full-stack implementation.Workflow Optimization: Deeply understand business scenarios optimize data processing and business logic workflows and address the high accu...

About Company

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Patsnap empowers IP and R&D teams with advanced AI to get better answers and make faster decisions. Increase IP productivity by 75% while reducing R&D wastage by 25%.

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