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Iambic Therapeutics

AI-driven discovery for oncology and neurology

Software Engineer 1/2 - Scientific Computing

Backend EngineeringUpdated on Nov 7
Full-time$129k - $190k /yr

About the Job

Requirements

  • A bachelor's degree in a relevant technical field and five or more years of software development experience, or equivalent practical experience.
  • Strong Python skills and experience writing clear, tested, maintainable production code.
  • Experience running scientific or batch workloads on AWS.
  • Experience with Prefect or another workflow orchestration system.
  • Familiarity with computational chemistry workloads such as molecular dynamics or docking.
  • Familiarity with the machine learning model lifecycle.
  • A strong service mindset, clear communication, and genuine interest in helping scientists be effective.

Responsibilities

  • Partner closely with computational chemists and machine learning researchers to understand research needs and deliver practical software solutions.
  • Build and maintain Python applications, libraries, APIs, and command-line tools.
  • Develop reliable workflows for drug discovery workloads.
  • Improve orchestration, monitoring, and recovery for workloads on AWS and neo-clouds such as Modal and Lambda.
  • Integrate scientific applications with shared data, compute, and model services.
  • Troubleshoot issues, document tools, and help scientists use them effectively.
  • Contribute to design, testing, review, deployment, and production support.

About the Company

Iambic Therapeutics

AI-driven discovery for oncology and neurology

Iambic Therapeutics uses its AI-driven discovery platform to develop new therapies for cancer and neurological diseases, pursuing both an internal pipeline and partnerships with other pharma companies. Its platform combines advanced AI models with automated experiments to quickly identify and optimize drug candidates and to predict molecular properties with less data and time. The company differentiates itself by blending in-house drug development with strategic collaborations and using proprietary AI-enabled discovery to speed up prediction and validation compared with traditional methods. Its goal is to deliver new treatments to patients by accelerating drug discovery and development through AI and automated experimentation.

Company size
51-200
Company stage
IPO
Headquarters
San Diego, CA
Founded
2019

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