Platform Software Engineer

Core

• Lead the software development of our target identification tool, ensuring it is robustly tested, scalable, and well-integrated with the broader platform.
• Work closely with science, ML, and data engineering teams to understand their product needs and translate these into functional software.
• Architect the tool with modularity and future enhancements in mind, ensuring it can handle evolving scientific and computational requirements.

Additional

• Evaluate and potentially integrate emerging technologies, such as agentic LLMs, to enhance internal tools and workflows.
• Develop integrations with other internal tools, with a particularfocus on seamless flow of data.
• Identify opportunities for process and tech improvements that benefit the wider scientific team.
• Collaborate on ad-hoc projects and support various engineering efforts as needed.

Core

• Strong proficiency in Python and a deep understanding of backend development principles.
• Exposure to and experience using at least one application development framework, with an emphasis on creating internal tools rather than consumer-facing products.
• Some experience or familiarity with biology, even if not in a research capacity, and a willingness to learn more about the field.
• Excellent communication skills and a proven ability to work effectively across diverse technical teams.
• A pragmatic approach to troubleshooting and resolving technical challenges in a fast-paced environment.

Nice to have

• Experience with AWS services and familiarity with Kubernetes environments (GCP exposure is a plus).
• Interest in emerging technologies and a proactive attitude toward exploring tools like agentic LLMs.

Screening Call 

App architecture test

Coding interview 1

Interview with co-founders