Iambic Therapeutics, Inc - Software Engineer, ML & Scientific Services
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Requirements
• Python with modern tooling (e.g. uv, pixi) • FastAPI with a clean service-layer architecture (business logic isolated from transport) • Workflow orchestration (e.g. Prefect); GPU-backed compute for ML workloads • AWS (ECS and related services) • Infrastructure-as-code and automated CI/CD; containerized services • Agentic coding tools (e.g. Claude Code) as part of day-to-day development • 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. • 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.
Responsibilities
• Productize ML workflows: collaborate with researchers to translate inference, fine-tuning, and data-processing work into robust, repeatable Python services with clean APIs. • Design and own service-layer components as the single source of truth for business logic - callable from the web app and from orchestration workflows alike, with structured inputs/outputs. • Own secure-by-design backend practices: enforce authorization and access scoping in the service layer (not just the UI), guard against silent failures, and keep sensitive data handling correct and auditable. • Improve robustness, observability, and usability of model-driven services. • Contribute to API and service design (usability, versioning, and long-term stability) and to a culture of thoughtful, high-quality engineering through design discussions and code review. • Strong Python engineering skills and experience building/operating production backend systems. • Experience productionizing ML or scientific computing systems - inference, training/fine-tuning pipelines, or data workflows. • Exposure to scientific or data-intensive domains. • Demonstrated experience building secure systems: authentication, authorization, access control, and careful handling of sensitive data. • Experience with relational databases and well-structured service architectures (FastAPI or similar). • Strong engineering practices: observability, documentation, maintainability. • Familiarity with data governance and compliance frameworks (e.g. ISO/IEC 27001 or similar) and security practices like threat modeling, preferred • Familiarity with GPU-backed environments, preferred • Familiarity with distributed-systems fundamentals, preferred • Strong written communication and experience working in a distributed, collaborative team.
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