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83 Sciences

engineering opportunity

Head of Data Partnerships

Head of Data Partnerships role at 83 Sciences in New York, NY, US / San Francisco, CA, US. Work model: remote. The Role Your first job is to build our university data network, starting with individual labs and scaling to departments and institution-wide partnerships. You will: Build and close partnerships with universities and research labs Navigate complex relationships across faculty, research leadership, tech tran

New York, NY, US / San Francisco, CA, USremoteFull-time

Posted

About the role

What will you do at 83 Sciences?

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.

Make your next move

Build a shortlist and prepare

Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.

Review the responsibilities and requirements before adding an opening to your shortlist.

Role information can change. Prepin can help you prepare, but does not submit an application for this role.

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