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, Framingham , Data Scientist DOM Channing, Other , Boston, Massachusetts