Senior Software Engineer, Asimov

• You have 6+ years of experience in software development
• You have technical expertise in Python 3, Strawberry, SQLAlchemy, GraphQL, Elasticsearch, Docker
• You have a sense of urgency and a desire to work on challenging technical projects
• You have the ability to navigate the ambiguity of building something that is first-of-its-kind
• You have multiple years of experience building and scaling systems to production-level workloads
• You possess sound technical judgment that considers quality, performance, and product stage
• You have a passion for joining a startup where autonomy, passion to learn, and excitement to engineer biology take precedence over process and ego
• Experience developing computer-aided design software and/or scientific software applications is desired, though not required

• We are looking for an experienced Senior Software Engineer to join our dynamic Software Engineering team
• At Asimov, we are creating a state-of-the-art platform to program living cells, named Kernel, that allows bioengineers to design, build, and debug genetic systems at scale
• You will be part of an interdisciplinary team that works directly with our internal group of scientists, synthetic biologists, and computational biologists as well as your teammates in software engineering and product
• Design, build, and maintain software tools that are used by bioengineers to advance the design and manufacture of biologics and gene therapies
• Directly shape the software architecture and be involved in the long-term product direction
• Work with a modern backend stack (Python 3, Strawberry, SQLAlchemy)
• Develop data models and schemas for the complex domain of biology
• Be part of an on-call rotation to support the software you’ve helped develop
• Interface directly with members of the synthetic biology team to identify and prioritize potential improvements to software systems
• Contribute to Asimov’s technology platform, direction, and culture

Total funding: $204.7m

Despite the many recent breakthroughs in medicine, drug manufacturing remains a lengthy and costly process that is difficult to scale. Asimov seeks to combat this with its intelligent design suite for synthetic biologists, that leverages computer-aided design to help design, simulate, and optimise genetic systems more reliably.