Full Stack AI Engineer (Life Sciences)
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
About Company
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%.