Software Engineer, Informatics

Iambic Therapeutics, Inc•San Diego, CA

25d•Onsite

About The Position

We are seeking a talented and motivated Software Engineer, in our San Diego headquarters, to join the tightly integrated technology and drug discovery operation at Iambic Therapeutics. You’ll work closely with scientists across disciplines to ensure experimental data from our laboratory, ranging from biochemical activity assays to pharmacokinetic measurements, is accurately processed, curated, and integrated into our data platform. Your key responsibilities include contributing to the development, testing, and release of software for our drug discovery platform.

Requirements

Minimum of 5 years of related experience with a bachelor's degree; or 3 years and a master's degree; or a PhD; or equivalent experience in Chemistry or Biology or a related field
Strong software and technical skills
Python and scientific computing ecosystem (e.g., Pydantic, asyncio, FastAPI, etc.)
Can communicate with ML engineers
Demonstrates competence and rigor in software development

Nice To Haves

PhD in Chemistry or Biology or a related field preferred

Responsibilities

Work in a cross-functional team that spans the full domain of drug discovery
Support a software platform that supports the drug discovery Design-Make-Test-Analyze (DMTA) process
Develop and maintain data workflows to parse, validate, and upload experimental data (e.g., ADME, PK, biologic assay data) from lab-generated files such as Excel, CSV, and instrument exports
Collaborate with lab scientists to define and model new assays in our data systems, ensuring metadata and measurement structures align with scientific intent
Ensure data integrity and consistency through automated validation, schema enforcement, and version-controlled pipelines
Implement and maintain Python software and APIs that streamline data ingestion, curation, and accessibility for downstream analysis
Work with ML scientists, computational chemists, biologists, and data engineers to improve data readiness for model training and scientific insight
Participate in code reviews
Clearly communicate work in meetings and company demos, at a level suited to the audience