Job description

JOB SUMMARY Iambic is seeking a Software Engineer to build software that helps computational chemists run, monitor, and analyze scientific workloads. 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. This full-time role is based on the US East Coast, ideally in Boston; remote work elsewhere in the United States is also considered. KEY 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. 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. ABOUT IAMBIC THERAPEUTICS Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai iambic.ai. MISSION & CORE VALUES Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies. PAY AND BENEFITS We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.

Requirements

Must-haves

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.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpythonawsai

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

401k