30-Oct-2023
Principal Data Engineer
Harvard Medical School
60254BR
Position Description
The Center for Computational Biomedicine (CCB) is a new center within the Blavatnik Institute at Harvard Medical School. Our mission is to provide cutting edge computational capabilities, data analysis, and data integration technologies to support medical and biological research within the Medical School.
We seek a highly motivated, collaborative individual with excellent communication skills to join our team of technologists and scientists as a Principal Data Engineer. You will help build out the necessary data warehousing infrastructure to support the downstream machine learning analysis and integration of large, complex data sets that will provide a nuanced longitudinal perspective on population- and individual-level health outcomes and disease trajectories. These data sets include healthcare insurance claims, electronic health records, genomics, environmental exposure, and other data modalities. The integration of these data will allow our research teams to make ground-breaking advances in the areas of precision medicine, healthcare AI, healthcare policy / economics, and basic science, all with the goal of improving patient outcomes.
In this role, you will work to develop innovative solutions for warehousing and integrating these large data resources. You will have frequent opportunities to dive deep to troubleshoot complex technical issues in large data management systems, working hand-in-hand with our world-class Information Technology and Research Computing teams. Your work will involve a wide variety of technologies including analytic relational data warehouses (column and row stores), graph databases, array databases, object stores, key/value stores, scale-up and scale-out storage platforms, containerized services, and others. Solutions will be deployed both on-premises and in private and public cloud environments.
Basic Qualifications
- Minimum of seven years’ post-secondary education or relevant work experience
Additional Qualifications and Skills
- MS in Computer Science or related field, with expertise in relational database technologies and 2+ years experience in enterprise data management and data warehousing, or an undergraduate degree in Computer Science with 5+ years experience preferred
- Proven understanding of database modeling concepts: entities/tables, relations/constraints, attribute data types, and column data times, with proficiency in SQL
- Strong software engineering experience, with a thorough grasp of IT concepts, design and development tools, system architecture and technical standards, shared software concepts, and layered solution and designs
- Proven understanding of database modeling concepts: entities/tables, relations/constraints, attribute data types, and column data times, with proficiency in SQL
- Strong software engineering experience, with a thorough grasp of IT concepts, design and development tools, system architecture and technical standards, shared software concepts, and layered solution and designs
- Experience designing and maintaining multi-terabyte analytic relational databases, including index and query optimization
- Experience collaborating with information security teams and working within compliance and data governance constraints
- Experience with Microsoft SQL Server or cloud-based data warehousing technologies
- Experience with non-relational database systems (graph, key/value, document, array data stores)
Additional Information
This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.
This position is based in Boston, but the work may be done fully or primarily remote. Any remote work must be performed in a state in which Harvard is registered to do business (CA*, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT, and WA). Individual flexible and remote work options for this role will be discussed during the interview process. *Note: Harvard employees working in California must be exempt.
The University requires all Harvard community members to be fully vaccinated against COVID-19 and remain up to date with COVID-19 vaccine boosters, as detailed in Harvard’s Vaccine & Booster Requirements. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University’s COVID vaccination requirement, exemptions, and verification of vaccination status may be found at the University’s “COVID-19 Vaccine Information” webpage: http://www.harvard.edu/coronavirus/covid-19-vaccine-information/.
Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
Harvard University offers an outstanding benefits package including:
- Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 12.5 paid holidays, and 3 paid personal days per year.
- Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date.
- Retirement: University-funded retirement plan with full vesting after 3 years of service.
- Tuition Assistance Program: Competitive tuition assistance program, incredibly affordable classes directly at the Harvard Extension School, and discounted options through participating Harvard grad schools.
- Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute.
- Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation, and complementary health services.
- Harvard access to athletic facilities, libraries, campus events, and many discounts throughout metro Boston.
The Harvard Medical School is not able to provide visa sponsorship for this position.
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Job Function
Information Technology
Department Office Location
USA - MA - Boston
Job Code
I0759P Applications Professional V
Work Format
Remote
Sub-Unit
------------
059
Department
Biomedical Informatics (DBMI)
Union
00 - Non Union, Exempt or Temporary
Time Status
Full-time
Pre-Employment Screening
Criminal, Education, Identity
Schedule
Fulltime | Monday - Friday
Commitment to Equity, Diversity, Inclusion, and Belonging
We are committed to cultivating an inclusive workplace culture of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals. Harvard Medical School Mission and Community Value
EEO Statement
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.