Live opening · Posted 19 hours ago

AI Product Lead (Drug Discovery)

EPM Scientific · Boston, MA (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 19 hours ago
CompanyEPM Scientific
LocationBoston, MA (Remote)
Salary$190K/yr - $240K/yr
Work modeYes
SourceLinkedin
Listed19 hours ago

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About the role

Description supplied by the original job listing.

AI Product Lead (Drug Discovery)
Remote
Building AI Scientists for Drug Discovery
An innovative, venture-backed AI and life sciences company is seeking an experienced AI Product Lead to help build and scale a next-generation AI platform designed for drug discovery teams.
This is a rare opportunity to shape products that sit at the intersection of artificial intelligence, biomedical data, and scientific reasoning. Working directly with executive leadership, researchers, engineers, and industry partners, you will define how advanced AI systems are adopted across biotechnology, pharmaceutical, and translational research organizations.
The company has built a strong foundation supporting biomedical data analysis and scientific research at global scale and is now investing heavily in a new AI-driven product organization focused on accelerating discovery, hypothesis generation, biological reasoning, and decision-making for scientific teams.
The Opportunity
We're looking for a product leader who thrives in ambiguous, fast-moving environments and wants to help define the future of AI-native research tools.
You'll take ownership of an emerging AI platform designed to help scientists interact with complex biological data, generate insights, evaluate hypotheses, and accelerate drug discovery workflows. You'll work closely with AI researchers, computational biologists, engineers, and customers to transform cutting-edge capabilities into products adopted by leading biotech and pharmaceutical organizations.
This role combines:
AI Product Leadership
Drug Discovery & Life Sciences
Computational Biology
Scientific Research Platforms
Product Strategy & Commercialization
What You'll Do
Define product vision, roadmap, and execution strategy for an AI-driven scientific platform
Partner closely with AI researchers, computational biologists, and engineering teams to translate emerging capabilities into real-world products
Work directly with biotech and pharmaceutical customers to understand research workflows and unmet needs
Shape AI experiences supporting biological reasoning, target discovery, knowledge synthesis, and scientific decision-making
Drive customer adoption, product positioning, and go-to-market strategy
Influence the build-out of a world-class AI product organization
Collaborate closely with executive leadership to define long-term product strategy and company growth
What We're Looking For
Required
5+ years of Product Management experience, with significant exposure to life sciences or scientific software products
Strong background in Computational Biology, Bioinformatics, Genetics, Drug Discovery, Biomedical Research, or related scientific domains
Demonstrated experience building products used by scientists, researchers, or technical domain experts
Deep understanding of modern AI systems, foundation models, agents, and the evolving LLM ecosystem
Experience taking complex technical products from concept to market
Ability to communicate effectively across scientific, engineering, and business stakeholders
Highly Desired
Experience building AI-native products for drug discovery, biomedical research, or scientific knowledge work
Familiarity with AI copilots, AI agents, or AI scientist systems
Experience commercializing products built on large-scale biological, molecular, or multimodal datasets
Track record working with pharmaceutical or biotechnology customers
Open-source contributions or leadership within AI-for-science communities
Why This Role
Build products that could fundamentally change how drug discovery research is conducted
Help define the next generation of AI scientists and scientific copilots
Significant ownership with direct access to executive leadership
Opportunity to build and scale a new function from the ground up
Work alongside exceptional AI, biology, and engineering talent
Competitive compensation, bonus, and meaningful equity participation

Work arrangement
Yes

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