Bioinformatician I Redline Lab

Mass General BrighamBoston, MA
11hHybrid

About The Position

Site: The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. Responsible for supporting biomedical and health-related research by integrating biological domain knowledge with information technology to collect, organize, interpret, and document research data from large-scale, multi-study research programs. The Bioinformatician I supports data processing, quality control, database organization, and standards-aligned data workflows, with an emphasis on consistent representation and documentation of complex biological and clinical data to support cross-study harmonization and reuse. Working collaboratively with research teams, this role contributes to the development, documentation, and implementation of structured data elements, metadata, and computational pipelines that enable reproducible analysis, data sharing, and secondary use of research data. This position will support the National Sleep Research Resource (NSRR) and related NIH data harmonization efforts, with a focus on sleep data standards, metadata curation, and development of Common Data Elements (CDEs) to enable cross-study data sharing and reuse. Job Summary The AMC Division of Sleep and Circadian Medicine seeks a Bioinformatician who will be responsible for supporting biomedical and health-related research by integrating biological domain knowledge with information technology to collect, organize, interpret, and document research data from large-scale, multi-study research programs. The Bioinformatician I supports data processing, quality control, database organization, and standards-aligned data workflows, with an emphasis on consistent representation and documentation of complex biological and clinical data to support cross-study harmonization and reuse. Working collaboratively with research teams, this role contributes to the development, documentation, and implementation of structured data elements, metadata, and computational pipelines that enable reproducible analysis, data sharing, and secondary use of research data. This position will support the National Sleep Research Resource (NSRR) and related NIH data harmonization efforts, with a focus on sleep data standards, metadata curation, and development of Common Data Elements (CDEs) to enable cross-study data sharing and reuse.

Requirements

  • Bachelor's Degree Computational Biology required or Bachelor's Degree Related Field of Study required or Master's Degree Related Field of Study preferred
  • Computational Sciences Experience 0-1 year preferred
  • Demonstrated experience in infrastructure, programming languages, and computational sciences.
  • Demonstrated ability working with open-source bioinformatics software.
  • Possess strong analytical skills, including critical thinking, data modeling, problem solving, and troubleshooting.
  • Strong organizational and interpersonal skills.
  • Ability to effectively communicate, both orally and in writing, to all levels of staff.
  • Excellent time management skills.

Responsibilities

  • supporting biomedical and health-related research by integrating biological domain knowledge with information technology to collect, organize, interpret, and document research data from large-scale, multi-study research programs.
  • supports data processing, quality control, database organization, and standards-aligned data workflows, with an emphasis on consistent representation and documentation of complex biological and clinical data to support cross-study harmonization and reuse.
  • contributes to the development, documentation, and implementation of structured data elements, metadata, and computational pipelines that enable reproducible analysis, data sharing, and secondary use of research data.
  • support the National Sleep Research Resource (NSRR) and related NIH data harmonization efforts, with a focus on sleep data standards, metadata curation, and development of Common Data Elements (CDEs) to enable cross-study data sharing and reuse.
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