Iambic Therapeutics Tech Stack

AI-driven drug discovery platform advancing clinical candidates

Biotechnology Research San Diego, California 51–200 employees Founded 2020 Privately Held

Iambic is a clinical-stage biotech using AI to compress drug discovery timelines. The stack reveals dual operations: a Python-centric ML pipeline (PyTorch, Hugging Face, Databricks, Airflow) for AI model development, paired with wet-lab automation (HPLC, qPCR, Agilent) and structured clinical workflows (Veeva, NetSuite). Leadership-heavy hiring (12 senior, 5 director roles in 21 open positions) underscores the company's shift from research stage toward clinical execution—matching their active focus on IND submissions, clinical documentation, and scaled compute infrastructure.

Tech Stack 40 technologies

Core StackAshby NetSuite Python FastAPI Prefect Apache Airflow Databricks Apache Spark AWS Kubernetes Docker PyTorch Hugging Face HPLC Adaptive Planning Anaplan Pydantic asyncio Argo CD qPCR Agilent KNIME Veeva LinkedIn Recruiter Phoenix GPT UniProt Azure GCP Modal+7 more

What Iambic Therapeutics Is Building

◆Challenges

Managing efficient document workflows
Integrating ai tools into medical writing workflows
Scaling compute for drug discovery
Increasing purification throughput
Improving observability
Mitigating compliance risk
Scaling up production
Vendor oversight
Budget and timeline performance
Accelerating drug development timelines

▲Active Projects

Infrastructure as code implementation
Ai tool integration
Clinical-stage program documentation
Ind submissions
Compute layer for drug discovery platform
Ml model deployment pipeline
Workflow orchestration for scientific workflows
Automated purification workflow development
Ind/impd module 3 documentation
Enchant model development

Hiring Activity

Accelerating20 roles · 20 in 30d

Department

Research

Engineering

Healthcare

Ops

Data

Product

Security

Seniority

Senior

Director

Principal

Lead

Mid

Notable leadership hires: DMPK Director

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About Iambic Therapeutics

Iambic develops novel drug candidates using a proprietary AI platform, moving molecules from discovery to human clinical trials. The company merges computational drug design (Python, PyTorch, large language models) with experimental validation (HPLC, qPCR, automated purification workflows), targeting multiple therapeutic mechanisms and disease areas. Based in San Diego with 51–200 employees, Iambic is operationally bridging research and clinic: the platform stack includes Veeva for regulatory submissions, NetSuite for resource planning, and Databricks for ML at scale. Current bottlenecks center on compute scaling for discovery simulations, purification throughput, and managing complex document workflows tied to IND and clinical-stage submissions.

HeadquartersSan Diego, California

Company Size51–200 employees

Founded2020

Hiring MarketsUnited States, Germany

Frequently Asked Questions

What is Iambic Therapeutics' tech stack?

Iambic uses Python, PyTorch, and Hugging Face for ML; Databricks and Apache Spark for data; Airflow and Prefect for workflow orchestration; AWS, Azure, GCP, and Kubernetes for cloud infrastructure; and Veeva and NetSuite for regulatory and business operations.

Where is Iambic Therapeutics headquartered?

San Diego, California. The company is actively hiring in the United States and Germany.

How this profile is built

Iambic Therapeutics's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.