Biostatistical Analyst

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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.

• 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.

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.

Masters degree in a quantitative field such as statistics, biostatistics, or epidemiology is required. An MPH with concentration in epidemiology and biostatistics is acceptable with appropriate post-graduate experience. One or more 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.

• Standing Occasionally (3‑33%)
• Walking Occasionally (3‑33%)
• Sitting Constantly (67‑100%)
• Lifting Occasionally (3‑33%) 20lbs – 35lbs
• Carrying Occasionally (3‑33%) 20lbs – 35lbs
• Pushing Rarely (Less than 2%)
• Pulling Rarely (Less than 2%)
• Climbing Rarely (Less than 2%)
• Balancing Occasionally (3‑33%)
• Stooping Occasionally (3‑33%)
• Kneeling Rarely (Less than 2%)
• Crouching Rarely (Less than 2%)
• Crawling Rarely (Less than 2%)
• Reaching Occasionally (3‑33%)
• Fine Manipulation (Fingering) Frequently (34‑66%)
• Feeling Constantly (67‑100%)
• Foot Use Rarely (Less than 2%)
• Vision – Far Constantly (67‑100%)
• Vision – Near Constantly (67‑100%)
• Talking Constantly (67‑100%)
• Hearing Constantly (67‑100%)

Hybrid

181 Longwood Avenue

40

Regular

Day (United States of America)

$73,798.40 – $ Annual

2200 The Brigham and Women’s Hospital, Inc. is an Equal Opportunity Employer. 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…