Research Computing Services (RCS) at Boston University has two immediate openings for well qualified candidates. For over 35 years RCS has provided consulting, training, and infrastructure support to thousands of researchers on the Charles River and Medical Campuses. RCS supports a wide range of disciplines from the Physical Sciences and Engineering to emerging computational communities such as Biostatistics, Bioinformatics, Genomics, Neuroscience, Machine Learning, Public and Global Health, Economics, Finance, Social Sciences, Microbiology, and Infectious Diseases. The computing facilities managed by the group include a shared Linux computing cluster with over 14,000 CPU cores, over 240,000 GPU cores, and over 3.5 PB of disk, as well as the Northeast ATLAS Tier 2 center with an additional 4,000 CPU cores and 4.5 PB of storage. RCS serves over 2,100 researchers in over 600 projects from more than 80 departments and centers at the University. The ATLAS cluster serves more than 3,000 researchers world-wide.

Boston University is a founding member of the Massachusetts Green High-Performance Computing Center (MGHPCC) along with Harvard, MIT, Northeastern and the University of Massachusetts. The MGHPCC is a research computing data center which includes 33,000 square feet of computer room space optimized for high performance computing systems, a 19MW power feed, and a high efficiency cooling plant that can support up to 10MW of computing load.

RCS is a major partner in the Massachusetts Open Cloud (MOC), an initiative to build an open alternative to today’s public clouds, and the Commonwealth Cloud for Computational Biology (C3DDB), a project to support research that connects world leading life science with emerging, innovative big data analytics. Both of these projects are funded by the Commonwealth of Massachusetts and are collaborative with our partners at the MGHPCC.

The Research Computing group actively participates in intra- and inter-university collaborations, both regionally and nationally, including participation in the XSEDE Campus Champions program.

Boston University is one of the leading private research and teaching institutions in the world, and one of the largest employers in the city of Boston. With over 33,000 undergraduate and graduate students from more than 130 countries, 10,000 faculty and staff, 17 schools and colleges, and 250 fields of study, our two campuses lead the way in world-class education and innovative research. BU has a rich legacy of serving both greater Boston and the world community.

Boston University’s policies provide for equal opportunity and affirmative action in employment and admission to all programs of the University.

For more information about the Research Computing Services group please visit

To apply for the open positions, please visit

Senior Scientific Programmer/Analyst – Genomics, Bioinformatics, Biostatistics (Job # 7179)

Lead the technical aspects related to consulting, training, and scientific application package support for Research Computing Services on the Boston University Medical Campus (BUMC). Technical aspects include engagement of research projects, project guidance, personal instruction, tutorials, workshops, workflow/pipeline development, application porting, and code optimization of for research projects. Serve as the primary support contact for BUMC faculty, staff and graduate students on complex projects and issues that require in-depth knowledge of the multiple technical areas within the Research Computing Services Group as well as the core computational research tools used in biostatistics, bioinformatics, microbiology and biochemistry. Work directly with faculty and other academic stakeholders to assess needs and recommend solutions as a representative of the Research Computing team. Act as primary liaison between faculty, staff, and students on BUMC and staff at Research Computing Services.


  • MA/MS (PhD preferred) in Statistics, Biostatistics, Bioinformatics, Bioengineering or an equivalent combination of education and experience.
  • Strong analytical and personal skills with an ability to manage multiple projects and deliverables, strong attention to detail.
  • Fluency in multiple programming languages particularly R and Python.
  • Understanding of basic statistical methods.
  • Hands-on experience in Linux scripting and package installation.
  • Ability to quickly learn new programming languages and tools.
  • Excellent communication skills, and the ability to work well both independently as well as in a team.


  • Experience utilizing and scripting for Linux HPC clusters.
  • Experience with life-sciences research, including large scale genetics/genomics research and analysis pipelines.
  • Experience with Bioinformatics common tools.
  • Knowledge of numerical methods and computational methodologies.
  • Strong statistics background.
  • Understanding and experience in statistical programming environments such as SAS and Stata.
  • Good knowledge of clinical study designs, common analysis methods, descriptive and inferential statistics, summarization of data and presentation practices.
  • Experience working with sequence, variant and public genomics datasets.

Systems Programmer/Administrator I (Job # 5162/J2317)

This position is part of the systems administration and agile DevOps teams responsible for architecting, engineering, administering, and operating the BU Research Computing Services (RCS) and Massachusetts Open Cloud (MOC) grid, virtual, and cloud based systems. This position will have specific responsibilities in administering virtualized servers and MOC cloud resources and serve as a technical liaison between RCS and MOC. The position works with RCS and MOC team members to install, configure, maintain, and update hardware and software, monitor, improve performance, resolve problems and help the users of the systems.

B.A./B.S. and one to three years of work experience or M.A./M.S. Knowledge of computer hardware, Linux operating systems, and networking technologies. Experience with Software Define Networks, KVM and OpenStack are a plus. Fluency in multiple programming languages (especially C, Shell, Python and Perl). Strong communications skills. Ability to learn and apply new things quickly. Strong problem solving skills.