# Title Drug Discovery Automation Software Engineer at Excelsior Sciences

- Company: Excelsior Sciences
- What the company does: Excelsior Sciences leverages blocc chemistry — automated, AI-friendly small molecule synthesis — to accelerate drug discovery and scale from molecule to manufacturing. Backed by Khosla.
- Company website: https://excelsiorsci.com/
- Type: Startups
- Level: Mid level
- Location: Remote (US)
- Work setup: Remote
- Pay: $120K to $175K base salary per year (USD)
- Posted: 2026-08-26
- Apply by: 2026-10-12
- Apply: https://careers-excelsiorci.icims.com/jobs/3147/drug-discovery-automation-software-engineer/job
- Page: https://www.1752.vc/careers/jobs/excelsior-sciences-title-drug-discovery-automation-software-engineer/

## About the role

This role sits on the Automation team (Physical AI & Lab IT) under the Chief Physical AI Officer, alongside Research Informatics / Software Engineering and Frontier AI (foundation models & AI/Quantum). The Automation team owns the software and systems that connect physical lab devices and robotic platforms to digital lab data and AI agents—enabling reliable, agentic control of automated workflows and closed-loop experimentation.

## What they're looking for

- BS or MS in Computer Science, Software Engineering, Bioengineering, Life Sciences, or a related field
- 3 to 5 years of experience in digital or laboratory automation, ideally within pharmaceutical, biotech, or high-throughput research environments
- Proficiency in Python and at least one JavaScript/TypeScript, C#, or R, experience with software development best practices (version control, testing, code review, CI)
- Hands-on experience with software automation and integration approaches (REST APIs, device SDKs, messaging, or equivalent)
- Familiarity with LIMS, ELNs, digital orchestration/scheduling software, and/or cloud platforms (including Azure) used in research settings
- Practical understanding of laboratory instrumentation and automation technologies, ability to troubleshoot across software and physical systems