Biostatistical Analyst
Mass General Brigham is a not-for-profit organization that supports patient care, research, teaching, and community service. The Biostatistical Analyst will design and perform statistical analyses of large datasets related to chronic lung disease, collaborating with various teams to ensure data quality and contribute to scientific literature.
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
Skills
- 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
- 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
- 1+ years of post-graduate research experience is preferred but not required for candidates with strong academic credentials and appropriate graduate school research experience
Benefits
- Comprehensive benefits
- Career advancement opportunities
- Differentials
- Premiums and bonuses as applicable
- Recognition programs designed to celebrate your contributions and support your professional growth
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