Linux Systems Engineer

As a not-for-profit organization, Partners HealthCare is committed to supporting patient care, research, teaching, and service to the community by leading innovation across our system. Founded by Brigham and Women’s Hospital and Massachusetts General Hospital, Partners HealthCare supports a complete continuum of care including community and specialty hospitals, a managed care organization, a physician network, community health centers, home care and other health-related entities. Several of our hospitals are teaching affiliates of Harvard Medical School, and our system is a national leader in biomedical research.

We’re focused on a people-first culture for our system’s patients and our professional family. That’s why we provide our employees with more ways to achieve their potential. Partners HealthCare is committed to aligning our employees’ personal aspirations with projects that match their capabilities and creating a culture that empowers our managers to become trusted mentors. We support each member of our team to own their personal development—and we recognize success at every step.

Our employees use the Partners HealthCare values to govern decisions, actions and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration.

General Summary/Overview

The Partners HealthCare Information Systems Enterprise Medical Imaging (EMI) department is seeking an experienced Linux engineer to support (ML) Machine Learning and (DL) Deep Learning neural network research.

This position will have a broad range of responsibilities including: innovation of the overall informatics/application services including expansion of current and new application services and training; working with and improving ML and DL systems; interaction with internationally recognized scientists and researchers in consulting and integrating their applications/algorithms into a GPU & CPU shared (clustered) environment.

The unifying characteristics of the position are an eagerness to quickly learn, apply and integrate new technologies and techniques of High-Performance and Parallel Computing; as well as versatility and breadth in computationally intense scientific and informatics skills, ability to work independently, outstanding customer service and training skills, and the ability to help teams and projects successfully accomplish their research objectives will be your successful qualities in this role.

Candidates are not expected to be deeply knowledgeable in all areas, but must demonstrate the ability and motivation to learn. Ideal candidates thrive on variety and innovation in their daily work, on interacting with leading investigators, being adept communicators, and on working with a wide range of technologies in a research environment.

Principal Duties and Responsibilities

Work within a focused team to support users in all aspects of HPC computing hardware, techniques and software for ML & DL research.
Work directly with researchers and informaticians/learnists as a member of their team in designing, prototyping/testing, tuning for parallelization, problem analysis, and documenting processing and data acquisition pipelines.
Respond to user’s request for direct support of applications troubleshooting.
Work closely with CDSC industry partners in coordinating installation of HW/SF systems (prototypes and pilots).
Transfer knowledge and promote new technologies within user community through one-on-one help sessions and documentation.
Assist users to install, configure and/or script informatics tools and applications, understanding and guiding work and data flows for their analysis.
Provide Linux, UNIX administration and Windows administration.
Use the Partners HealthCare values to govern decisions, actions and behaviors. These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration.
Other duties as assigned.

Qualifications

BS in a Computer Science, Bioinformatics or related field; a combination of education and experience may be substituted for requirements
5+ years of experience in mix of development and management of Linux (Ubuntu) and Microsoft Servers
5+ years of strong scripting or programming experience (Python, C++, Bash, Dot Net or other…)
2+ years virtualization (Docker & Docker scheduling) – VMware experience a plus
2+ years of experience supporting/developing informatics systems in ML, medical or basic science research environments strongly preferred
Demonstrated experience/knowledge of computational clusters (CPU & GPU), HPC and/or grid computing environments (Hadoop or Spark experience a plus)
Working knowledge of scheduling systems (Slurm, Swarm, Singularity or other)
Experience supporting related components of 3rd-party and open-source applications (including R, Matlab, SAS, Octave…) a plus
Experience with ML and Neural Networks (Caffe, TensorFlow, Theano…) a plus

Skills/Abilities/Competencies Required

Ability to work independently and demonstrate excellent project management and communication skills with a strong demonstration of commitment to customer service
Good presentation, training and documentation skills are essential
Comfortable working in a dynamic environment and developing flexible solutions to meet evolving requirements
Ability to multitask and prioritize work requirements with minimal supervision
Excellent written and verbal communication skills: demonstrated ability to communicate effectively with scientists, developers, application analysts, managers and IT
Strong problem solving and negotiation skills
Requires minimal direction from leadership and possesses the ability to learn quickly
Ability to successfully negotiate and collaborate with others of different skill sets, backgrounds and levels within and external to the organization

Working Conditions

Standard office environment with possible local travel to Partners sites. Remote access capabilities provided

Supervisory Responsibility

None, but technical leadership required

Fiscal Responsibility

Demonstrates fiscal responsibility by effectively using Partners resources

EEO Statement

Partners HealthCare is an Equal Opportunity Employer & by embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law.

Primary Location

MA-Boston-25 New Chardon – PHS

Work Locations

25 New Chardon – PHS

25 New Chardon Street

Boston

02114

Job

Systems/Network Administration

Organization

Partners HealthCare(PHS)

Schedule