[Hiring] Software Engineer @Iambic Therapeutics, Inc

Role Description

We are seeking a software engineer to join our team at Iambic Therapeutics, working on data acquisition and curation for Enchant, our multimodal transformer model trained at scale on a wide variety of biomedical data. In this role, you will design and build agentic systems that generate code to acquire, clean, format, quality-control, and generate auditable data reports for the large-scale datasets that power Enchant training. The model writes the code, the code runs the pipeline. You will work at the intersection of LLM-based automation and biomedical data engineering—developing AI agents that can navigate heterogeneous data sources, enforce quality standards, and operate reliably at scale.

This role is ideal for candidates who combine strong software engineering instincts with scientific understanding of biomedical data, and who are excited about using LLMs as tools to solve practical data problems.

Qualifications

• Master’s degree in a computational STEM field, or a Bachelor's with 2+ years of industry experience
• Strong Python engineering skills, including experience building and maintaining production-quality software
• Hands-on experience with LLM APIs (e.g., Claude, GPT) and agentic patterns such as tool use, orchestration, and multi-step reasoning
• Familiarity with biomedical or chemical data sources and formats (e.g., PDB, UniProt, ChEMBL, SDF/MOL, FASTA, or similar)
• Comfort with data engineering fundamentals: ETL design, data validation, and working with structured and unstructured data at scale
• Hands-on experience with Python testing frameworks (e.g., pytest fixtures, parametrization)

Requirements

• Design, build, and maintain agentic systems that turn a pointer to a biomedical data source (web page, S3 path, GitHub repository, a table in a paper) into a reviewed, versioned dataset. The agent's output is committed pipeline code and its test suite, so re-running it later reproduces the same dataset.
• Develop LLM-based pipelines for data cleaning, normalization, and formatting across diverse data modalities (e.g., molecular, genomic, clinical, literature)
• Implement automated quality-control workflows that detect anomalies, flag inconsistencies, and enforce data standards
• Evaluate and iterate on agent architectures, prompting strategies, tool definitions, validation loops, and evaluation harnesses that make agent-generated code trustworthy, improving reliability and throughput over time
• Collaborate with ML scientists on the Enchant team to understand data requirements and translate them into scalable acquisition and processing systems
• Monitor and maintain distributed data pipelines in production, diagnosing failures and improving robustness over time
• Document data provenance, processing decisions, and quality metrics to support reproducibility and auditing
• Operate the agents safely with sandboxed execution, least-privilege credentials, restricted network access, audit logs, and raising potential security risks to the team

Benefits

• Industry leading competitive pay
• Company paid healthcare
• Flexible spending accounts
• Voluntary life insurance
• 401K matching
• Uncapped vacation
• Brand-new state-of-the-art facility in beautiful San Diego with an onsite gym and dining
• Easy access to great places to live and play