Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

The HPC Sr. Engineer, Storage will serve the Dana-Farber Cancer Institute (DFCI) and its patients within the Computational Solutions team under the Chief Health Information Office. The successful candidate will support research storage offerings at a production level being provided to the research community and other services.

The role requires a strong technical background with hands-on experience in bringing a research computational pipeline from prototype to production with regards to error handling, stability, reliability, usability, scalability and performance. The ideal candidate understands how hardware and software go hand in hand and only the ideal combination of compute resources and software components deliver the optimal result.

• Serves as subject matter expert and scientific computing solutions designer, leveraging deep understanding of both the scientific domain as well as the computing technology.

• Overall responsible for the productionization and the reliable operation of HPC workloads (NGS pipelines and others).

• Acts as primary contact for the research community with respect to high performance computing applications and resources.

• Directly performs and coordinates monitoring and troubleshooting of production HPC workloads and implementation of fixes when necessary.

• Researches, finds and implements optimal runtime conditions for HPC workloads.

• Act as a cluster scheduler power user and works with system administration to align configuration of compute resources with computational workloads.

• Collects metrics and provides input on how to optimally utilize available compute resources.

• Is fully knowledgeable of informatics services and resources offered by Research Computing or Partners HealthCare and proposes solutions to optimally address concrete computational needs through a combination of different services.

• Maintains the flow of information for end-to-end service delivery and provides updates where needed.

• Performs other related duties as assigned / needed

Knowledge, Skills and Abilities required:

• Good working knowledge of Java or C/C++ programming or equivalent.

• Can build software from sources including knowledge of build systems (Make, CMake, Maven, Gradle etc.).

• Solid knowledge of computer architectures and multi-threaded/parallel processing applications.

• Strong knowledge of local and distributed I/O performance tuning.

• Hands-on knowledge of network- and distributed filesystems (e.g. NFS, BeeGFS) and knowledge of ZFS.

• Extensive experience with HPC or cloud scheduling, such as GridEngine, SLURM or LSF.

• Fluency in at least one scripting language (Python preferred), bash and knowledge of parallel shell.

• Working knowledge of containerization (e.g., Docker)

• Hands-on experience with system administrative task in Linux environments.

• Knowledge of collaboration tools such as Jira, Confluence, SharePoint and others.

• Exceptional service orientation, excellent problem-solving abilities; keen attention to detail.

• Excellent analytical, organizational and time management skills.

• Ability to work under pressure with minimal supervision in a complex environment.

• Demonstrated ability to work effectively in a highly collaborative technical team.

• Strong interpersonal skills - ability to interact productively with users and colleagues of diverse seniority levels and professional backgrounds.

• Ability to communicate technical topics to technical and non-technical audiences appropriately.

• Ability to serve both hands-on and in a management capacity, as needed.

• Bachelor’s degree in Computer Science, Software Engineering or a related field. Master’s degree may substitute for experience.

• 5 years in a similar role; experience may substitute for degree.

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.