SENIOR RESEARCH COMPUTING APPLICATIONS & DATA SPECIALIST, Information Services & Technology, Research Computing

As a Boston University Research Computing Applications team member, engage researchers as partners to co-create and co-learn research activities and relevant advanced computing capabilities to facilitate and transform collaborative and interdisciplinary research.

This position will work directly with faculty, staff, and graduate students of the BU Faculty of Data Sciences, College of Engineering, Computer Science Department, and related communities on complex projects that require advanced knowledge of Machine / Deep Learning algorithms and frameworks.

Responsibilities

• Provide necessary training and consulting to support efficient utilization of Boston University's High-Performance Computing resources.
• Install, document, and validate existing researcher-facing software packages.
• Provide outreach and training to the university research community.
• Collaborate with regional and national research computing peers on the fields landscape and best practices.

Our mission is to provide best-in-class technology and data services to support outstanding education, groundbreaking research, effective administration, and a connected, secure community to Boston University, one of the largest private employers in Boston with almost 10,000 faculty and staff BU.

IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, and opportunities to engage with peers at NERCOMP and EDUCAUSE events.

Our Fun Advisory Board (FAB) arranges a number of events throughout the year; recent events included a night a Lucky Strikes Boston, karaoke night, BU hockey game, a night at Symphony Hall, pancake breakfast, and a department holiday lunch.

Boston University offers an excellent benefits package including :

• Time Off : In addition to generous time off, BU employees have a paid intersession break, and 13 paid holidays.
• Retirement : University-funded retirement plan with full vesting after 2 years of eligible service.
• Tuition Assistance Program : Competitive tuition assistance program for yourself and family members.
• Transportation : BU offers a discounted MBTA pass as well as additional options to assist employees in their daily commute.
• Wellness : BU offers programs and classes at little or no cost, including workshops and personal counseling, please check out https : / / www.

bu.edu / wellness / for more information!

Culture & Community : BU also offers access to discounts or free admission to various city art / cultural institutes around Boston.

If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at 617-353-6474.

Required Skills

Demonstrated proficiency in multiple programming languages, particularly Python, C or C++, machine learning packages (PyTorch, Tensorflow, etc.

and strong competencies in algorithms and numerical analysis.

• Proven understanding and professional experience applying machine learning / deep learning concepts and techniques such as random forest, support vector machines, RNNs, CNNs, LSTM, etc.
• GPU programming experience.
• Ability to quickly learn new programming languages and tools.
• Strong analytical skills required with an ability to manage multiple projects and deliverables.
• Excellent communication and documentation skills, and the ability to work well both independently as well as in a team.

Preferred Qualifications

• The following Qualifications are preferred, if you meet some, but not all, you are still encouraged to apply; we value employees with a willingness to learn.
• Familiarity with container technologies (Kubernetes, Docker, Singularity / Apptainer, etc.)is desirable.
• Experience in utilizing cloud services for HPC and Research Computing is highly desirable.
• Experience utilizing and scripting for Linux HPC clusters highly desired.

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 .

Required Experience

Demonstrated proficiency in multiple programming languages, particularly Python, C or C++, machine learning packages (PyTorch, Tensorflow, etc.

and strong competencies in algorithms and numerical analysis.

• Proven understanding and professional experience applying machine learning / deep learning concepts and techniques such as random forest, support vector machines, RNNs, CNNs, LSTM, etc.
• GPU programming experience.
• Ability to quickly learn new programming languages and tools.
• Strong analytical skills required with an ability to manage multiple projects and deliverables.
• Excellent communication and documentation skills, and the ability to work well both independently as well as in a team.

Preferred Qualifications

• The following Qualifications are preferred, if you meet some, but not all, you are still encouraged to apply; we value employees with a willingness to learn.
• Familiarity with container technologies (Kubernetes, Docker, Singularity / Apptainer, etc.)is desirable.
• Experience in utilizing cloud services for HPC and Research Computing is highly desirable.
• Experience utilizing and scripting for Linux HPC clusters highly desired.

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 .