Biostatistical Analyst

Mass General BrighamBoston, MA
3d$73,798 - $107,401Hybrid

About The Position

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. Job Summary 1. Under general supervision of the Principal Investigator, researches, develops, and applies statistical models for analysis, inference, and prediction from multiple large datasets. 2. Collaborates with genetics laboratory and bioinformatics staff on data cleaning and quality control of genomic datasets. 3. Provides regular reports of data analysis to investigator and collaborators. 4. Adheres to rigorous principles of reproducible research and data documentation. 5. In collaboration with investigators and trainees, contributes to scientific literature, reports, journal publications and presentations. 6. Assists in orientation and training of post-doctoral fellows and other personnel as needed Qualifications The Channing Division of Network Medicine at Brigham and Women’s Hospital, Boston is looking for a Biostatistical Analyst . The Biostatistical Analyst will design and perform statistical analyses of large datasets from multiple studies of chronic lung disease. Working independently, under the direction of the Principal Investigator, s/he will design and perform statistical analyses of clinical and genomic datasets, including data cleaning and implementation of complex statistical models. 1. Under general supervision of the Principal Investigator, researches, develops, and applies statistical models for analysis, inference, and prediction from multiple large datasets. 2. Collaborates with genetics laboratory and bioinformatics staff on data cleaning and quality control of genomic datasets. 3. Provides regular reports of data analysis to investigator and collaborators. 4. Adheres to rigorous principles of reproducible research and data documentation. 5. In collaboration with investigators and trainees, contributes to scientific literature, reports, journal publications and presentations. 6. Assists in orientation and training of post-doctoral fellows and other personnel as needed.

Requirements

  • Masters degree in a quantitative field such as statistics, biostatistics, or epidemiology.
  • MPH with concentration in epidemiology and biostatistics is acceptable with appropriate post-graduate experience.
  • 1+ years of post-graduate research experience is preferred but not required for candidates with strong academic credentials and appropriate graduate school research experience.
  • Strong statistical background and data analysis skills.
  • Substantial experience applying sophisticated statistical methods to analyze large datasets.
  • Prior experience working with RNA-sequencing, proteomics, or other similar ‘omics data.
  • Experience in programming with R, Python, and/or MATLAB.
  • Experience with computational biology applications and databases.
  • Excellent time management and organizational skills.
  • Excellent written and verbal presentation skills.
  • Ability to work well in a multidisciplinary team setting.
  • High degree of initiative and ability to work independently.
  • Willingness to seek and accept guidance from senior personnel, as needed.

Responsibilities

  • Under general supervision of the Principal Investigator, researches, develops, and applies statistical models for analysis, inference, and prediction from multiple large datasets.
  • Collaborates with genetics laboratory and bioinformatics staff on data cleaning and quality control of genomic datasets.
  • Provides regular reports of data analysis to investigator and collaborators.
  • Adheres to rigorous principles of reproducible research and data documentation.
  • In collaboration with investigators and trainees, contributes to scientific literature, reports, journal publications and presentations.
  • Assists in orientation and training of post-doctoral fellows and other personnel as needed
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