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Iambic Therapeutics is a clinical-stage life-science and technology company developing novel medicines using an AI-driven discovery and development platform. The company is seeking a Software Engineer to build software that helps computational chemists run, monitor, and analyze scientific workloads in drug discovery.
You will join the Software Engineering group and work closely with computational chemists and machine learning researchers to turn research needs into reliable Python applications and cloud workflows. The role spans design, implementation, deployment, and support for software used in computational drug discovery.
Key responsibilities include:
- 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
This is a full-time role based on the US East Coast, ideally in Boston, though remote work elsewhere in the United States is also considered.
QUALIFICATIONS:
- 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
