Lifescience Scientist

Requirements

• PhD in life sciences, bioinformatics, computational biology, or a related field, or equivalent deep industry experience in pharma, biotech, clinical development, translational medicine, BD, or competitive intelligence.
• Genuine curiosity about how AI will reshape life sciences workflows, and a belief that Agents will change how work gets done in this industry.
• A track record of delivering something end to end, such as a research paper, tool, internal product, data pipeline, or workflow solution.
• Strong product intuition: when looking at an early prototype, you can quickly judge whether it is likely to work for real users.
• Comfort working in uncertainty, moving quickly, and building products at the edge of current model capabilities.
• Nice to Have
• Hands-on experience with LLMs, Agent frameworks, MCP, or prompt engineering.
• Experience working with structured biomedical data, such as clinical trial databases, sequence databases, target/disease ontologies, or deal and patent data.
• Experience designing products for technical end users, including researchers, developers, data scientists, or scientific analysts.Open-source contributions, technical writing, public projects, or a visible portfolio of work.

Additional Information

We are building the next generation of AI Native products for life sciences, moving Patsnap beyond a traditional SaaS platform into an intelligent product ecosystem powered by MCPs, Skills, and Agents. Our goal is to embed Patsnap directly into our customers' daily workflows and help them complete complex research, clinical, BD, competitive intelligence, and regulatory tasks more effectively. We are looking for a domain knowledge scientist who sits at the intersection of deep life sciences expertise and product building. This is not a traditional PM role. Your job is to translate complex, messy, real-world life sciences problems into focused, usable products that customers want to open every day. If you have a PhD background in life sciences, bioinformatics, computational biology, or equivalent industry experience, and you have often felt that existing tools are "almost good enough, but not quite right," this is an opportunity to build the tools you always wished existed.

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