Software Engineer – Agentic Data Pipelines

🕒 September 4

🇺🇸 United States – Remote

💵 $110k - $162k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Iambic Therapeutics

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

💰 Series B on 2024-04

Healthcare • Consulting • Manufacturing

Iambic Therapeutics is a pioneering biotechnology company that leverages advanced AI algorithms for drug discovery. Their innovative, high-throughput experimental platform aims to address unmet patient needs by optimizing molecules for various therapeutic targets. The company's AI-driven approach allows it to rapidly explore chemical spaces, revealing novel drug mechanisms and delivering high-quality leads at an accelerated pace compared to traditional methods.

📋 Description

• Design, build, and maintain agentic systems that convert biomedical data-source pointers into reviewed, versioned datasets • Develop LLM-based pipelines for data cleaning, normalization, and formatting across molecular, genomic, clinical, and literature data • Implement automated quality-control workflows to detect anomalies, flag inconsistencies, and enforce data standards • Evaluate and iterate on agent architectures, prompting strategies, tool definitions, validation loops, and evaluation harnesses • Collaborate with ML scientists on the Enchant team to translate data requirements into scalable acquisition and processing systems • Monitor and maintain distributed data pipelines in production, diagnose failures, and improve robustness • Document data provenance, processing decisions, and quality metrics for reproducibility and auditing • Operate agents safely using sandboxed execution, least-privilege credentials, restricted network access, and audit logs • Raise potential security risks to the team • Contribute to a longer-term natural-language orchestrator for drug discovery inference, fine-tuning, virtual screens, and dataset analysis

🎯 Requirements

• Master’s degree in a computational STEM field, or a Bachelor's with 2+ years of industry experience • Strong Python engineering skills and experience building and maintaining production-quality software • Hands-on experience with LLM APIs such as Claude and GPT • Experience with agentic patterns including tool use, orchestration, and multi-step reasoning • Familiarity with biomedical or chemical data sources and formats such as PDB, UniProt, ChEMBL, SDF/MOL, and FASTA • Data engineering fundamentals including ETL design, data validation, and structured and unstructured data at scale • Hands-on experience with Python testing frameworks such as pytest fixtures and parametrization • Experience with agent orchestration frameworks and evaluation harnesses for LLM-generated code • Familiarity with cloud infrastructure and workflow orchestration such as AWS, Docker, and Kubernetes • Knowledge of multimodal biomedical data spanning small molecules, proteins, assays, images, ‘omics, and/or clinical records • Experience with large-scale dataset construction or curation for ML model training • Knowledge of agent security practices including sandboxing, scoped credentials, and prompt injection • Authorized to work in the United States; visa sponsorship status addressed in application

🏖️ Benefits

• Company-paid healthcare • Flexible spending accounts • Voluntary life insurance • 401K matching • Uncapped vacation • Onsite gym • Dining facilities • Brand-new state-of-the-art facility • Easy access to great places to live and play