Superluminal Medicines is a generative biological and chemical company accelerating new possibilities in drug discovery and development. Backed by Insight Partners.
About the role
We are seeking a Staff Engineer to design and build the software systems that power how experimental data moves through Superluminal Medicines. You will own critical systems at the intersection of software engineering, scientific data, and research operations, including compound registration, experimental data ingestion, scientific system integrations, and the infrastructure that connects wet lab workflows to our broader data platform. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelor’s degree in Software Engineering, Computer Science, Information Technology, or a related field, or equivalent professional experience
- 5+ years of professional software engineering experience building and operating production systems
- 3+ years of Python experience designing maintainable and well-tested software
- Experience building systems that integrate data across APIs, databases, files, asynchronous processes, and third-party platforms
- Experience with containers and modern deployment patterns using Docker and Kubernetes
- Experience designing scalable software architecture and making technical design decisions
More about this role
Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company’s platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation.
We are seeking a Staff Engineer to design and build the software systems that power how experimental data moves through Superluminal Medicines. You will own critical systems at the intersection of software engineering, scientific data, and research operations, including compound registration, experimental data ingestion, scientific system integrations, and the infrastructure that connects wet lab workflows to our broader data platform.
This is a high-ownership engineering role. You will be expected to design production systems, make architectural decisions, write high-quality software, and work directly with scientists to solve complex technical problems. The ideal...
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