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 developmentand 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 Statement:
Partners HealthCare is embarking on a new Enterprise Data and Digital Health (EDDH) initiative focused on establishing best-in-class data analytics, digital competencies and tools to deliver superior care and experience for our patients. The organization is dedicated to creating a cutting-edge data science environment that supports patient discovery, cohort formation and patient disease stratification.
The Research Information Science & Computing (RISC) group of Partners HealthCare plays a critical role in ensuring the success of this initiative. Our focus is on accelerating the digital transformation of healthcare by redefining how data is used to improve patient outcomes. To better enable researchers and clinicians, we are building tools, repositories, and new data workflows optimized for data science, machine learning and artificial intelligence.
Our group is looking for a Big Data Engineer to be a key member of this fast-paced team. This position will be responsible for modifying, expanding and optimizing our data warehouse to include Big Data and Cloud technologies. You will have significant influence on our data strategy by helping define and build the next iterations of features for enterprise-wide data integration and data science. The ideal candidate should have prior experience in the implementation of a modern Big Data architecture and the design and implementation of analytical data platforms. S/he should have deep technical and analytical skills with a rich knowledge of accepted best practices around data flow, data transformation and data ingestion. To quickly get up to speed, a solid understanding of metadata catalogs, data governance, data science and data mining in Big Data technologies in Cloud, hybrid and/or on-premise environments is essential.
The ideal person must love a challenge and feel comfortable working on an evolving project in which the specific goals and deliverables are subject to change. Deep technical and analytical skills are a necessity as well as an ability to successfully work with new technologies, quickly grasp new concepts, and think creatively when solving complex problems. You may be asked to take on other duties the team may need as assigned and you will actively participate in all facets of the project.
This position will report to the RISC Senior Manager of Analytics with additional oversight from technical leads on each project. She/he will also be working closely with other developers, analysts and research-based teams around the enterprise.
Principal Duties and Responsibilities:
Work with cross functional research leadership, technical and analytical teams to understand current and future enterprise-wide Big Data analytics goals spanning disparate platforms and datatypes
Participate hands-on in the projects to architect (research, recommend, design, develop and deploy) advanced systems for the collection, aggregation and analysis of those data in alignment with business objectives
Provide Big Data technology assessments, strategies, and roadmaps in several technical domains and act as a subject matter expert on Big Data
Collaborate with data engineers to drive and build innovative solutions, defining best practices and methodologies
Participate in configuring the architecture and advise data engineers on efficient performance
Assist data scientists, SMEs, Data Engineers and Big Data Cloud Architects in deploying and testing AI and machine learning algorithms
Develop and optimize ETL processes, implement transformations and quality check results
May participate in cross-team code reviews among data engineering personnel
Stay informed on initiatives across the industry and the enterprise to help leadership effectively prioritize current and future Big Data needs
Exhibit willingness and participate actively in agile practices by collaborating with the Senior Manager and team members
Provide adequate documentation to effectively communicate architectural designs and data inputs, outputs and workflows for technical and nontechnical audiences
Works closely with the RISC leadership, RISC Technical, other RISC managers and IT colleagues to support corporate/functional business and information needs
Help to establish processes to ensure HIPPA and institutional compliance in all aspects of the work
Bachelor's/Master's degree in computer science or a healthcare related informatics field
7 years of experience designing, developing and implementing highly scalable enterprise-wide data warehousing and integration initiatives
Experience in a wide variety of traditional databases and Big Data technologies, developing strategies for data flow, data obfuscation, archiving and other aspects of data warehouses or data lakes
5 years architecting data warehouses and/or data lakes with traditional database enterprise-class RDBMS technologies, preferably MS SQL Server, and Big Data NoSQL like technologies, such as MongoDB, Couch DB, Hadoop and MapReduce, or Hbase. Experience includes creating data integration systems spanning a variety of modern architectural paradigms, including event based, streaming, and near real time design patterns
3 years of experience working in a variety of public and private cloud environments such as AWS, Azure, Dell EMC or VMWare, and experience deploying to data science machine learning/AI stacks such as Databricks, Cloudera/HortonWorks, HTFS, Kafka or Spark
Preferred experience working with data/Big Data in HealthCare, including genomics, imaging and EHR
Successful track record of delivering results on scope, on time, on budget
Knowledge of HIPPA, privacy regulations regarding patient data security and/or research related practices is a plus
Exceptional problem-solving skills
Excellent oral and written communication skills
Able to work in one or more cloud computing environments
Able to work in a highly-collaborative team and provide valuable insight
Able to document requirements and complex data architectures
Able to inform the project management process with thoughtful and accurate timeframe estimates
Able work efficiently under pressure and to manage to tight deadlines or shifting priorities
Enjoy being challenged and solving complex problems
Self-motivated, independent and possesses the ability to learn quickly
Familiarity with medical terminology and healthcare concepts is a significant plus
Working with our team on site in Somerville as well as traveling to meet collaborators at multiple sites in the local Boston area. 5 10% travel outside of Boston may be required.
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