Biological Structures Data Engineer I/II

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., * 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

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 challenges of working with real-world molecular structures
• Strong software engineering practices, with a focus on maintainable, well-tested systems
• Proficiency in Python
• Comfortable operating in a research-driven environment; developing, learning, and adapting cutting edge technologies
• Strong collaboration skills and the ability to communicate across a cross-functional research and engineering team

Preferred

• Experience designing data pipelines or data infrastructure for heterogeneous or large-scale datasets
• Familiarity with additional drug-discovery-relevant data types
• Experience contributing to a data lake or comparable centralized data platform
• Familiarity with auxiliary data or data transformations relevant to protein structure prediction
• Exposure to cloud-based systems (e.g., AWS, Kubernetes) and/or HPC
• Background bridging science and software engineering

Pulled from the full job description

• 401(k) matching
• Flexible spending account
• Life insurance
• On-site gym, 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.

Compensation Range: $129.6K - $190K

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.