Data Scientist DOM Channing
Company: Brigham and Women's Hospital
Location: Boston
Posted on: October 16, 2024
Job Description:
Job Description - Data Scientist DOM Channing (3301656) Data
Scientist DOM Channing - ( 3301656 ) Channing Division of Network
Medicine - Chronic Disease & Epidemiology Unit The Data Scientist
will play a crucial role in our research enterprise by modernizing
the data warehouse of the Nurses' Health Studies, a respected and
far-reaching investigation into women's health. We are seeking an
individual who can redesign the data interface and successfully
increase access and efficiency by improving the data model,
structure, and workflow. The NHS research platform has been well
served for decades by a homegrown computing infrastructure. This
legacy system is now showing its age, however, affecting
productivity and data-sharing ability. The NHS data collection
continues to grow in scale and scope, requiring advanced and
innovative methodologies for storage, access, sharing, and
analysis.
We seek a talented and experienced Data Scientist to 1) harmonize
and transform multimodal data; 2) build interactive access queries
through Gen3 (gen3.org); and 3) develop accurate and automated data
processing pipelines that implement validation tools. The ideal
candidate will excel at self-direction, task management, creative
problem-solving, and iterative communication with stakeholders. The
Data Scientist must be someone who thrives in a dynamic academic
research environment. -
The Nurses' Health Studies (NHS), renowned for epidemiological
research of chronic disease, encompass four primary studies with
over 300,000 participants followed for over four decades. The NHS
research platform includes extensive questionnaire data covering
disease, lifestyle, and nutrition, a biobank with millions of
specimens and thousands of associated biomarkers, GIS-based
exposure measures, imaging, and a wide range of disease outcomes.
NHS researchers are among the world's foremost health researchers
from Mass General Brigham, Harvard T.H. Chan School of Public
Health, and other top institutions worldwide. Our data
infrastructure team includes experts with decades of experience and
dedication to the NHS. NHS researchers have published thousands of
scientific papers that have helped improve the treatment and
prevention of chronic disease.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
- Design and implement scalable data pipelines and storage
solutions to accommodate the growth of NHS
- Optimize data access and retrieval methods for maximum
efficiency
- Attain project goals through individual contributions and
successful development team leadership
- Develop and oversee an integration plan for new processes and
tools
- Meet regularly with stakeholders to assess data requirements
and solution validation
- Apply both strategic and hands-on efforts when delivering data
and analytics solution action plans to stakeholders
- Establish data governance practices to ensure data quality,
security, and compliance
- Understand and maintain health data compliance requirements
QUALIFICATIONS:
- Master's or PhD in Computer Science, Data Science, Statistics,
or related field -
- 3+ years data engineering experience
- GraphQL query language recommended
- Experience with Gen3 query development and data submission
workflows [Graph Model, our microservice Peregrine converts
GraphiQL queries and hits the PostgreSQL database]
- Previous experience with SQL preferred Previous experience
working in a Unix / Linux environment
- Proficient in Python and/or Java, including the use of APIs or
web services
- Experience with a broad spectrum of data encompassing size,
scalability, and various data types (simple numeric/text, image,
large-scale genetic data, biorepository)
- Understanding of health data compliance, security plans, data
protection, and the types of controls associated with them is a
plus SKILLS/ ABILITIES/ COMPETENCIES REQUIRED:
- Promote a collegial, team-oriented work style
- Work with IT and Project Management personnel to establish
strategy, deadlines and resource needs Foresee obstacles, identify
workarounds, leverage resources, rally teammates.
- Proven analytical and problem-resolution skills
- Proactive, innovative, self-motivated, and able to focus in a
dynamic working environment
- Strong grasp of business processes, industry trends, and
organizational goals to align technology technology decisions with
business objectives
- Stay current with updates to established data technologies as
well as emerging technologies
- Excellent presentation skills Excellent written and oral
communication skills are critical; must summarize and present data
and information in a highly effective manner over the phone, email
or video chat. QUALIFICATIONS:
- Master's or PhD in Computer Science, Data Science, Statistics,
or related field -
- 3+ years data engineering experience
- GraphQL query language recommended
- Experience with Gen3 query development and data submission
workflows [Graph Model, our microservice Peregrine converts
GraphiQL queries and hits the PostgreSQL database]
- Previous experience with SQL preferred Previous experience
working in a Unix / Linux environment
- Proficient in Python and/or Java, including the use of APIs or
web services
- Experience with a broad spectrum of data encompassing size,
scalability, and various data types (simple numeric/text, image,
large-scale genetic data, biorepository)
- Understanding of health data compliance, security plans, data
protection, and the types of controls associated with them is a
plus SKILLS/ ABILITIES/ COMPETENCIES REQUIRED:
- Promote a collegial, team-oriented work style
- Work with IT and Project Management personnel to establish
strategy, deadlines and resource needs Foresee obstacles, identify
workarounds, leverage resources, rally teammates.
- Proven analytical and problem-resolution skills
- Proactive, innovative, self-motivated, and able to focus in a
dynamic working environment
- Strong grasp of business processes, industry trends, and
organizational goals to align technology technology decisions with
business objectives
- Stay current with updates to established data technologies as
well as emerging technologies
- Excellent presentation skills Excellent written and oral
communication skills are critical; must summarize and present data
and information in a highly effective manner over the phone, email
or video chat. BWH is an Affirmative Action 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. We will ensure that all individuals with a disability are
provided a reasonable accommodation to participate in the job
application or interview process, to perform essential job
functions, and to receive other benefits and privileges of
employment. Primary Location Primary Location MA-Boston-BWH
Longwood Medical Area Work Locations BWH Longwood Medical Area 75
Francis Street Job Job IT/Health IT/Informatics - Other
Organization Organization Brigham & Women's Hospital(BWH) Schedule
Schedule Full-time Standard Hours 40 Shift Shift Day Job Employee
Status Employee Status Regular Recruiting Department BWH Department
Of Medicine
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Keywords: Brigham and Women's Hospital, Salem , Data Scientist DOM Channing, Other , Boston, Massachusetts
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