Join a hybrid team in Boston building software that supports computational chemists running, tracking, and analyzing scientific workloads.

Collaborate with computational chemists and machine learning researchers to translate research requirements into usable software
Design, build, and maintain Python applications, libraries, APIs, and command-line tools
Create dependable workflows for drug discovery workloads
Enhance orchestration, monitoring, and recovery for workloads deployed on AWS and cloud platforms such as Modal and Lambda
Integrate scientific applications with shared data, compute, and model services
Troubleshoot production issues, document tools, and support scientists in using them effectively
Participate in end-to-end engineering work including design, testing, code review, deployment, and production support

Bachelor’s degree in a relevant technical field and 5+ years of software development experience, or equivalent practical experience
Strong proficiency in Python, including building 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
Service-oriented mindset with clear communication and interest in helping scientists work effectively

Location: Boston, MA (hybrid). Full-time role based on the US East Coast; remote work elsewhere in the United States is also considered.

Compensation range: USD 129,000 - 190,000 per year.

Software Engineer I/II - Scientific Computing

Job Description