83 Sciences · New York, NY, US | San Francisco, CA, US · Posted 21d ago
$170k - $220k
AI-native materials discovery powered by unpublished experimental data
## Head of Data Partnerships
83 Sciences is building the data and AI infrastructure for scientific discovery. Almost 90% of experimental data is discarded, losing over $100B in R&D value every year. 83 Sciences turns unused experimental data into the materials and manufacturing processes powering the next industrial revolution.
Our ambition is to **own or license the world’s experimental data** and use it to build better models for science.
## The Role
Your first job is to build our university data network, starting with individual labs and scaling to departments and institution-wide partnerships. From there, you’ll expand into industry R&D and other major sources of proprietary experimental data.
You will:
* Build and close partnerships with universities and research labs * Navigate complex relationships across faculty, research leadership, tech transfer, legal, and administrators * Structure data access, licensing, and partnership agreements * Translate partner needs into product requirements * Work closely with product and engineering to build tools researchers actually want to use * Create scalable partnership models that can grow from one lab to an entire institution * Expand the network over time into industry R&D and other proprietary data sources
We’re looking for someone who can operate like a founder: build relationships from scratch, manage ambiguity, move quickly, and turn partner insight directly into product and strategy.
**Your mandate: build the network that gives 83 Sciences access to the world’s most valuable experimental data.**