Software Engineer I/II - Scientific Computing

Iambic Therapeutics

100-1000 employees, Growth
Location: Boston, MA, US · Boston Office
Salary Range: Salary range USD 129,000 - 190,000 / year
Source: Sequoia
Posted: Sep 25, 2026
Found: Oct 15, 2026

Job Description

From Iambic Therapeutics's job board on Ashby.

JOB SUMMARY

Iambic is seeking a Software Engineer to build software that helps computational chemists run, monitor, and analyze scientific workloads. You will join the Software Engineering group and work closely with computational chemists and machine learning researchers to turn research needs into reliable Python applications and cloud workflows. The role spans design, implementation, deployment, and support for software used in computational drug discovery. This full-time role is based on the US East Coast, ideally in Boston; remote work elsewhere in the United States is also considered.

KEY 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.

QUALIFICATIONS

  • 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

  • Strong service mindset, clear communication, and a genuine interest in helping scientists be effective.

ABOUT IAMBIC THERAPEUTICS
Iambic Therapeutics (Nasdaq: IAM) is a technology and clinical-stage life sciences company headquartered in San Diego. By utilizing molecular superintelligence — integrating proprietary AI with automated, scalable chemistry and biology experimentation — our platform is designed to address the totality of drug discovery and development. At Iambic, we are building an engine that is designed to power the future of medicine. Learn more at iambic.ai.

MISSION & VALUES
Our mission is to make better technology for better medicines. Three values guide how we work:

  • Bold. We are courageous, take thoughtful risks, and approach challenges with tenacity.

  • Innovative. We are creative and find new solutions that deliver impact.

  • Collaborative. We respect one another and partner with integrity.

We value the range of perspectives our people bring, and we work to build an environment where every team member can contribute and grow.

PAY AND BENEFITS
The pay range for this role is listed above. Actual pay depends on factors including experience, skills, and location. Eligible employees in the U.S. receive company-paid medical coverage, flexible spending accounts, voluntary life insurance, 401(k) matching and flexible time off. We are in a brand-new state-of-the art facility in beautiful San Diego with a community gym, dining, and easy access to great places to live and play.

EQUAL OPPORTUNITY
Iambic is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, medical condition, genetic information, marital status, veteran or military status, or any other characteristic protected by law.

Skills & Keywords

Amazon Web Services, Drug Discovery, Research, Python, Quality Assurance, Orchestration, Machine Learning, Scientific Computing
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