Excelsior Sciences
Excelsior Sciences is looking for a Master's‑level Computer Science professional to build and maintain cloud‑native data platforms, integrate LIMS/ELN systems, and develop agentic AI solutions that make scientific data FAIR and machine‑actionable. The role supports laboratory informatics and AI‑driven drug discovery by designing scalable pipelines, APIs, and cloud infrastructure while collaborating with scientists and engineering teams.
Company Size
1-10 employees
Excelsior Sciences leverages blocc chemistry — automated, AI-friendly small molecule synthesis — to accelerate drug discovery and scale from molecule to manufacturing. Their platform uses machine-ready chemical building blocks and closed-loop AI-guided synthesis to transform small-molecule innovation into a modular, iterative process accessible to automation and non-specialists. The company operates at the intersection of chemistry and AI, targeting pharmaceuticals and broader materials applications.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Excelsior Sciences.
119% above the average for this role