M
AI Scientist - Entrepreneur in Residence
molecule.xyz
Contract type
Ongoing
Work mode
On-site · On-site (see listing for address)
Experience
3 years
Job description
Key details
- Architect and deploy fleets of scientific agents spanning literature mining, target identification, molecular design, assay design, and data analysis
- Pilot each fleet against a specific disease area and drive it to a tangible deliverable — a validated target, a candidate molecule, a novel dataset, an IP-NFT
- Run multiple fleets in parallel across disease areas, reporting results directly to the CEO
- Own the full stack: agent design, orchestration, evaluation, and scientific judgment on outputs
- Define and set the standard for how autonomous science gets done at Molecule
- Company mission
- Building the infrastructure for autonomous science
Benefits
- An early seat at the company building the infrastructure for autonomous science
- Direct ownership over a frontier no one else is running at
- Equity in the form of $BIO token allocation
- The fastest path from idea to deployed IP that exists in biotech today
Requirements & details
- Entrepreneurial to the core; you ship and don't wait for permission
- Technically deep across LLMs, agent frameworks, and at least one wet-science domain — chemistry, biology, pharma, structural biology, or genomics
- Comfortable with ambiguity; may be the only person in the room who knows how to do what you do
- Credential-agnostic; if you hold a degree, it should be from a top-tier institution (Oxbridge, Ivy League, MIT, Caltech, Stanford, ETH/EPFL, Imperial, or equivalent); if you skipped the degree, show what you built instead
- All-in on intensity; willing to live on-site for 4 weeks and operate at founder pace
- LLMs, AI Agents
- Uncategorized