Biological Structures Data Engineer I/II

JOB SUMMARY Iambic Therapeutics is seeking a Biological Structures Data Engineer to join the NeuralPLexer team and own the data pipelines for acquiring, curating, and transforming experimental and synthetic data to train the next generation of NeuralPLexer models. This role centers on deep, practical fluency with structural data: .cif files, the PDB, and the work of integrating structural data from many different sources which typically requires careful adaptation before it is usable. Working alongside ML scientists, you will design, implement, and harden the workflows that prepare experimental structural (e.g., protein–ligand complexes) and affinity data for training, and help create and ingest large volumes of high-quality computationally generated synthetic data. The emphasis throughout is on turning detailed domain knowledge into well-engineered, maintainable infrastructure that the rest of the team can depend on, rather than bespoke one-off handling. This position will be hybrid in our Boston office. KEY RESPONSIBILITIES - Understand, maintain, and enhance existing data pipelines, including parsing and validation of structural data (.cif/PDB and beyond) - Integrate and adapt data from a range of public and proprietary sources into reliable, reusable pipelines - Work closely with ML scientists to ensure their data needs are met - Ensure all data is stored in a secure, robust, and retrievable manner - Perform code reviews and exemplify software engineering best practices. - Communicate technical work effectively across a cross-functional research and engineering team QUALIFICATIONS Required - Engineer I: PhD or equivalent experience in Bioinformatics, Computational Biology, Cheminformatics or a related field - Engineer II: PhD or equivalent experience in Bioinformatics, Computational Biology, Cheminformatics or a related field with 3+ years of relevant experience - Hands-on familiarity with structural biology data — .cif files, the PDB, and the practical challeng