Software Engineer I/II - Scientific Computing

Summary

Iambic is a clinical-stage life-science and technology company developing medicines through AI-driven discovery technologies. The Software Engineer will build and support Python applications, APIs, tools, and cloud workflows that help computational chemists and machine learning researchers run, monitor, and analyze scientific workloads for computational drug discovery.

Responsibilities

• Partner closely with computational chemists and machine learning researchers to understand research needs and deliver practical software solutions
• Build and maintain Python applications, libraries, APIs, and command-line tools
• Develop reliable workflows for drug discovery workloads
• Improve orchestration, monitoring, and recovery for workloads on AWS and neo-clouds such as Modal and Lambda
• Integrate scientific applications with shared data, compute, and model services
• Troubleshoot issues, document tools, and help scientists use them effectively
• Contribute to design, testing, review, deployment, and production support

Skills

• Bachelor's degree in a relevant technical field and five or more years of software development experience, or equivalent practical experience
• Strong Python skills and experience writing clear, tested, maintainable production code
• Experience running scientific or batch workloads on AWS
• Experience with Prefect or another workflow orchestration system
• Familiarity with computational chemistry workloads such as molecular dynamics or docking
• Familiarity with the machine learning model lifecycle
• Strong service mindset, clear communication, and a genuine interest in helping scientists be effective

Qualifications

Must Haves

• Bachelor's degree in a relevant technical field and five or more years of software development experience, or equivalent practical experience
• Strong Python skills and experience writing clear, tested, maintainable production code
• Experience running scientific or batch workloads on AWS
• Experience with Prefect or another workflow orchestration system
• Familiarity with computational chemistry workloads such as molecular dynamics or docking
• Familiarity with the machine learning model lifecycle
• Strong service mindset, clear communication, and a genuine interest in helping scientists be effective

Benefits

• Company-paid healthcare
• Flexible spending accounts
• Voluntary life insurance
• 401K matching
• Uncapped vacation
• Onsite gym
• Dining at the facility
• Remote work elsewhere in the United States is also considered