Company
Biotech
LifescienceScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Lifescience Scientist. Skills: Product strategy, User stories, Cross-functional collaboration, Life sciences. Build PLG products. Identify high-leverage use cases”
Industry & Context.
Solve real workflow pain points
What They're Looking For.
Must Have
PhD in life sciences, PhD in bioinformatics, PhD in computational biology, Equivalent deep industry experience, Track record of delivering something end to end
Nice to Have
Hands-on experience with LLMs, Hands-on experience with Agent frameworks, Hands-on experience with MCP, Hands-on experience with prompt engineering, Experience with structured biomedical data, Experience designing products for technical end users, Open-source contributions, Technical writing, Public projects, Visible portfolio of work
What You'll Do.
Identify high-leverage use cases
Turn data assets into MCPs
Launch quickly in research preview
Continuously iterate based on feedback
Translate customer needs into product direction
Spend meaningful time with users
Uncover what users are truly trying to accomplish
Design capabilities for different user groups
Understand user data views
Design Skills and Agents
Make smart prioritization decisions
Act as a domain authority
Help PM teams develop sense of good
Work closely with marketing
Ensure positioning reflects value
Help team build product taste
How You'll Work.
Team & Collaboration
PM and marketing teams; Cross-functional teams
Process & Methodology
Roadmap
Full Job Description
## Description 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. ## What You’ll Do Build PLG products on the Patsnap platform Identify high-leverage use cases across clinical development, translational medicine, business development, competitive intelligence, and regulatory affairs. Turn Patsnap’s deep data assets, including clinical trials, sequences, targets, deals, and patents, into MCPs, Skills, and Agents that solve real workflow pain points. Launch quickly in “research preview” mode so users can try new capabilities within weeks, then continuously iterate based on feedback. Translate customer needs into product direction Spend meaningful time with researchers, scientists, BD teams, clinical operations teams, and other life sciences users. Go beyond what users say they want and uncover what they are truly trying to accomplish. Break down workflows until you can identify the “last 200 meters” where existing tools stop and users start struggling. Decide what to build, what not to build, and where Patsnap has a unique right to win. Design capabi
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