---
title: 'Software Engineer — Agentic data pipelines at Iambic Therapeutics, Inc'
canonical: 'https://feeny.ai/job/software-engineer-agentic-data-pipelines-iambic-therapeutics-inc-united-states-z1afztyyenvn'
type: 'job'
last_seen: '2026-09-09'
---

# Software Engineer — Agentic data pipelines at Iambic Therapeutics, Inc

- **Company:** Iambic Therapeutics, Inc
- **Location:** United States
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-09-04
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/iambic-therapeutics/ed5c9548-a170-4a73-ade7-2f710d009fac

## Job description

## JOB SUMMARY

We are seeking a software engineer to join our team at Iambic Therapeutics, working on data acquisition and curation for Enchant https://www.iambic.ai/post/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.

## KEY RESPONSIBILITIES

- 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

## 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)

## PREFERRED QUALIFICATIONS

- Experience with agent orchestration frameworks, and with evaluation harnesses for LLM-generated code
- Familiarity with cloud infrastructure and workflow orchestration (e.g., AWS, Docker, 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: sandboxing, scoped credentials, prompt injection
- Interest in a longer-term project: a natural language orchestrator that lets drug prosecution team members request inference, fine-tuning, virtual screens, and dataset analysis without writing code using our internal tools

## ABOUT IAMBIC THERAPEUTICS

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 http://iambic.ai.

## MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

## PAY AND BENEFITS

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.

## About Iambic Therapeutics, Inc

## Company Overview

- **One-liner**: Iambic Therapeutics is a clinical‑stage biotechnology company that uses an AI‑driven platform to discover and develop novel small‑molecule medicines for oncology and other diseases.  
- **Entity Type**: Private (late‑stage venture‑backed)  
- **Headquarters**: San Diego, California, United States  
- **Founded**: 2020  
- **Founders**: Not explicitly named in available sources; leadership includes a Co‑Founder & CEO and a Co‑Founder & CTO.  

## Core Business

- **Primary industries**: Biotechnology, AI‑powered drug discovery, oncology therapeutics  
- **Target customers**: B2B partnerships with pharmaceutical companies (e.g., Bayer) and, ultimately, patients through a wholly‑owned pipeline of clinical‑stage candidates  
- **Mission**: *“Better technology for better medicines”* – using machine learning and automation to transform the creation of new therapeutics  

## Products & Services

- **Enchant Platform**: A multi‑modal transformer AI that breaks down data barriers between preclinical and clinical R&D, enabling rapid molecular design.  
- **NeuralPLexer**: A co‑folding AI technology that predicts protein‑ligand structures to guide drug design.  
- **Automated High‑Throughput Experimentation**: AI‑driven robotics that generate new biological data from novel molecular designs on a weekly cadence.  
- **IAM1363** (HER2 inhibitor): A highly selective, brain‑penetrant tyrosine kinase inhibitor for HER2‑driven cancers; currently in Phase 1b clinical studies.  
- **IAM‑C1** (CDK2/4 dual inhibitor): A potential first‑in‑class selective inhibitor for HR+/HER2‑ metastatic breast cancer (preclinical).  
- **IAM‑K1** (KIF18A inhibitor): A potential best‑in‑class allosteric inhibitor for triple‑negative breast cancer, ovarian cancer, and other solid tumors (preclinical).  
- **Undisclosed programs**: Additional wholly‑owned candidates across multiple target classes and mechanisms.  

## Market Standing

- **Valuation**: Not publicly disclosed  
- **Key Metric**: **Total funding** – $330.8 M (including a $100 M Series B in Oct 2023, a $50 M Series B extension in Apr 2024 led by EXOR N.V. and Mubadala Capital, and a $127.8 M venture round in Nov 2025)  
- **Notable Investors/Partners**: EXOR N.V., Mubadala Capital, Nexus Venture, Bayer (collaboration in AI drug discovery), and a Scientific Advisory Board including Nobel Laureate Frances Arnold (Caltech)  
- **Growth Signals**:  
  - Headcount of **117** (64.5 % year‑over‑year growth)  
  - Active job postings: **18** (+200 % quarterly, +50 % yearly)  
  - Pipeline advanced from program launch to IND in **2 years** (vs. 6‑year industry average for IAM1363)  
  - Broad platform applicability demonstrated across orthosteric, allosteric, and protein‑protein interaction modalities  

## Competitive Advantages

- **Speed**: AI‑driven platform can deliver development candidates to clinical trials in roughly one‑third the industry average time.  
- **Selectivity & Differentiated Profiles**: IAM1363 shows > 5000‑fold selectivity against EGFR, avoiding EGFR‑driven toxicity; IAM‑C1 targets CDK2/4 with a novel selectivity profile.  
- **Broad Platform Applicability**: Platform has produced leads across diverse protein classes and mechanisms (orthosteric, allosteric, PPI modulators).  
- **Integration of AI and Drug Hunting**: Tightly integrated team of AI experts and seasoned drug hunters, with a culture of “audacity” that tackles hard chemistry problems.  

## Strategic Focus

- Advancing the clinical pipeline: IAM1363 Phase 1b, preparing IAM‑C1 and IAM‑K1 for IND‑enabling studies.  
- Expanding platform partnerships (e.g., Bayer collaboration).  
- Scaling the organization: actively hiring in ML science, computational chemistry, medicinal chemistry, and clinical operations.  
- Exploring new therapeutic areas and target classes through the Enchant and NeuralPLexer technologies.  

## Why Work Here

- **Culture**: Values of **Respect**, **Collaboration**, and **Audacity** – cross‑functional teamwork with resilience and optimism; a flat, high‑trust environment.  
- **Work Model**: Based in La Jolla/San Diego, CA; the company emphasizes on‑site collaboration for drug‑discovery and lab‑based roles; remote/hybrid policy not explicitly stated.  
- **Team Growth**: Rapidly scaling (headcount +64 % YoY) with a strong pipeline of open roles in ML, computational chemistry, drug product development, and clinical operations.  
- **Cutting‑Edge Work**: Opportunity to work at the intersection of frontier AI (large multimodal models, agentic data pipelines) and real‑world drug discovery that reaches patients.  
- **Leadership & Mentorship**: Advisory board includes Nobel laureate and former NVIDIA AI director; close integration of AI and biology.  

## Sources

1. [iambic.ai](https://www.iambic.ai/) – Homepage, platform, and corporate overview  
2. [iambic.ai/about](https://www.iambic.ai/about) – Leadership, advisory board, investors  
3. [iambic.ai/pipeline](https://www.iambic.ai/pipeline) – Pipeline details (IAM1363, IAM‑C1, IAM‑K1)  
4. [iambic.ai/careers](https://www.iambic.ai/careers) – Careers page, values, open positions  
5. [linkedin.com/company/iambic-ai](https://www.linkedin.com/company/iambic-ai) – Company stats (headcount 117, $3.4M revenue, $330.8M funding, funding rounds, employee growth)

## Other roles at Iambic Therapeutics, Inc

- [Sr Manager, FP&A - Discovery R&D](https://feeny.ai/job/sr-manager-fp-a-discovery-r-d-iambic-therapeutics-inc-san-diego-sznt8xkbx741) — San Diego, CA
- [Director/Senior Director, Immunology](https://feeny.ai/job/director-senior-director-immunology-iambic-therapeutics-inc-san-diego-pc8aedpavc67) — San Diego, CA
- [Principal Medical Writer](https://feeny.ai/job/principal-medical-writer-iambic-therapeutics-inc-united-states-p7p8wv9kdmyd) — United States
- [Sr Manager, Quality Systems & Compliance](https://feeny.ai/job/sr-manager-quality-systems-compliance-iambic-therapeutics-inc-united-states-vsh166q5vj7e) — United States
- [Research Scientist I/II, Bioanalytical Sciences & Assay Development](https://feeny.ai/job/research-scientist-i-ii-bioanalytical-sciences-assay-development-iambic-z1xnw171hxqv) — San Diego, CA
- [Machine Learning Scientist – Clinical Prediction](https://feeny.ai/job/machine-learning-scientist-clinical-prediction-iambic-therapeutics-inc-boston-r8b4amskssr5) — Boston, MA
- [Machine Learning Scientist — Large Multimodal Models (Post-Training)](https://feeny.ai/job/machine-learning-scientist-large-multimodal-models-post-training-iambic-7rzbhfe24hz9) — United Kingdom
- [Machine Learning Scientist — Large Multimodal Models (Post-Training)](https://feeny.ai/job/machine-learning-scientist-large-multimodal-models-post-training-iambic-tq20zrdrpft4) — Boston, MA
- [Senior / Executive Director, Analytical Development CMC](https://feeny.ai/job/senior-executive-director-analytical-development-cmc-iambic-therapeutics-inc-xc2n3pav2s88) — United States
- [Associate Director / Director, Clinical Pharmacology](https://feeny.ai/job/associate-director-director-clinical-pharmacology-iambic-therapeutics-inc-san-je8hv9zyhrrm) — San Diego, CA