SAIL Software Engineer, Hariri Institute

This role is based in Boston and follows a hybrid work schedule. Applicants should be located within a reasonable commuting distance of Boston.

For full consideration please apply by Monday September 21st.

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 universitys premiere interdisciplinary hub for education research scholarship innovation and technology development associated with computational and data science research. Located in the Universitys 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 labs research code is stable scalable reproducible and ready for peer-reviewed publication.

Core Responsibilities:

Software Development & Engineering

• Translate complex mathematical models scientific algorithms and raw scripts (Python R MATLAB) into clean modular and well-documented software packages.
• Develop and maintain data processing pipelines user interfaces or visualization dashboards for lab datasets.

Data & Infrastructure Management

• Containerize applications (using Docker or Singularity) to ensure identical execution environments across local machines high-performance computing (HPC) clusters or cloud platforms.
• Manage large-scale research datasets ensuring secure storage version control and compliance with institutional data management policies.

Research Collaboration & Support

• Partner with lab researchers to understand their computational roadblocks and engineer custom tooling to automate workflows.
• Optimize existing code for performance speed and memory usage to handle growing dataset sizes.

Sustainability & Open Science

• Implement professional software practices within the lab including version control (Git) automated testing and continuous integration (CI/CD).
• Package and document software to open-source standards enabling external researchers to replicate the labs findings.

Required Qualifications

Education:

Bachelors degree in Computer Science Data Science Bioinformatics or a related scientific/quantitative discipline.

Experience: 35 years of professional software engineering experience or an equivalent mix of graduate-level research and development.

Core Technical Skills:

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.

Additional Skills:

Strong communication skills and the ability to explain technical software concepts to non-engineer scientists.

Preferred Qualifications:

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.