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Boston University’s Hariri Institute for Computing and Computational Science and Engineering seeks a SAIL Software Engineer to design, build, and maintain data pipelines, software tools, and computational workflows for lab projects in Boston. The role partners with postdocs, graduate students, and PIs to deliver robust, reproducible research software.
You will produce production-grade code, implement testing and CI/CD, and contribute to open science.
26500474640831
9/3/2026
Grade 50
$93,000.00
$103,000.00
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Full-Time/Regular
This role is based in Boston and follows a hybrid work schedule. Applicants should be located within a reasonable commuting distance of Boston.
The Rafik B. Hariri Institute for Computing and Computational Science and Engineering (Hariri Institute) is a university-wide research center reporting to the VP for Research, which serves as the university's premiere interdisciplinary hub for education, research, scholarship, innovation, and technology development associated with computational and data science research. Located in the University's Duan Family Center for Computing and Data Sciences, the Hariri Institute community consists of over 400 faculty affiliates, 50+ administrative and research staff, 200 graduate students, and over $26 million in annual research expenditure. The Software & Application Innovation Lab (SAIL) at the Hariri Institute is a professional research, software engineering, and consulting lab that acts as both a driver and a collaborative partner for computational and data-oriented research efforts across Boston University. The Software Engineer position bridges the gap between scientific hypothesis and robust software execution. Reporting to the Director, you will work directly with postdocs, graduate students, and the Principal Investigator(s) to design, build, and maintain data pipelines, custom software tools, and computational workflows. This role ensures the lab's research code is stable, scalable, reproducible, and ready for peer-reviewed publication.
Bachelor's degree in Computer Science, Data Science, Bioinformatics, or a related scientific/quantitative discipline.
Experience: 3-5 years of professional software engineering experience, or an equivalent mix of graduate-level research and development.
Proficiency in languages common to research (e.g., Python, R, C++, or Julia). Strong expertise with Git, GitHub/GitLab workflows, and writing automated tests. Experience working in Linux/Unix environments and writing shell scripts. Familiarity with containerization tools like Docker or Singularity.
Strong communication skills and the ability to explain technical software concepts to non-engineer scientists.
Experience running jobs on High-Performance Computing (HPC) clusters using schedulers like Slurm. Experience with cloud platforms (AWS, GCP, or Azure) for scientific computing. Prior experience contributing to open-source software libraries or co-authoring scientific papers.
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.