Senior Research Computing Applications & Data Specialist, IS&T Research Computing Boston, MA

Senior Research Computing Applications & Data Specialist, IS&T Research Computing

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

Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experience to join our innovative and inclusive community.

Join us as a Senior Research Comp Apps & Data Specialist where you will engage researchers as partners to co-create and co-learn research activities and relevant advanced computing capabilities that facilitate and transform collaborative, interdisciplinary research.

You will also work directly with faculty, staff, postdoctoral researchers, and graduate and undergraduate students across the College of Engineering, the Computer Science Department, and related research communities on complex projects requiring advanced knowledge of machine learning and deep learning algorithms, frameworks, and accelerator technologies.

As part of the Research Computing Applications team, you will report to the Director of Research Computing & Digital Strategy and work with faculty, staff, postdoctoral researchers, and graduate and undergraduate students across the College of Engineering, the Computer Science Department, and related research communities.

• Engage researchers as partners to co-create and co-learn research activities and relevant advanced computing capabilities that facilitate and transform collaborative, interdisciplinary research.
• Work directly with faculty, staff, postdoctoral researchers, and graduate and undergraduate students across the College of Engineering, the Computer Science Department, and related research communities on complex projects requiring advanced knowledge of machine learning and deep learning algorithms, frameworks, and accelerator technologies.
• Provide in-depth consulting, training, and mentoring to support efficient use of Boston University's High-Performance Computing resources, including the Shared Computing Cluster, the MGHPCC AI Computing Resource (AICR) — a landmark multi-institution AI computing cluster at the Massachusetts Green High-Performance Computing Center — and the MOC Alliance, BU's open‑source public cloud initiative.
• Install, document, and validate researcher-facing software packages, and deliver outreach, tutorials, and workshops that build AI and ML capability across the university research community.
• Collaborate with regional and national research computing peers to stay current with the field's landscape and best practices and contribute to workforce development efforts that grow the pipeline of skilled research computing and AI consultants.

• Ph.D. in Computer Science, Data Science, Engineering, or a related field, and a minimum of 3 years of relevant experience supporting research computing, machine learning, or HPC environments; equivalent combination of education and experience (e.g., a Master's degree with 5+ years of relevant experience) will be considered.
• Demonstrated professional experience working natively in a Linux environment, including shell scripting, package management, and system‑level troubleshooting.
• Demonstrated proficiency in multiple programming languages, particularly Python, and hands‑on experience with machine learning frameworks (PyTorch, Tensor Flow, scikit‑learn, Hugging Face, etc.), along with strong competencies in algorithms and numerical analysis.
• Proven, professional‑level understanding of machine learning and deep learning concepts and techniques, such as random forests, support vector machines, RNNs, CNNs, LSTMs, and transformer‑based architectures.
• Experience with containerization technologies for deploying scalable workloads. Excellent verbal and written communication skills, including the ability to provide direct, in‑person and remote…