Senior Biostatistician

Company Overview
Harvard University is a world-renowned institution dedicated to advancing knowledge and education in various fields, including biostatistics.

Salary
$65,000 - $80,000 per year, depending on experience.

Job Description
This postdoctoral position involves developing statistical methods for finding patterns in complex biomedical data, working closely with Dr. Jeff Miller in the Department of Biostatistics at Harvard University's T.H. Chan School of Public Health. Key areas of focus include hierarchical regression models, latent factorization models, nonparametric Bayesian models, models for sequential data, mixture models, machine learning algorithms, and robustness to model misspecification. As part of this role, you will collaborate with Dr. Miller and colleagues to develop statistical methods and software tools for analyzing high-dimensional biomedical data from cancer genomics and clinical applications.

Required Skills and Qualifications
To be successful in this position, you should have a doctoral degree in Statistics, Biostatistics, Computer Science, Applied Math, or a related field. Advanced expertise in Bayesian statistics and machine learning is essential, as well as strong programming skills (e.g., in Julia, Python, R, C++). Additionally, you should be the primary author on at least one publication in a leading peer-reviewed journal.

Benefits
Harvard University offers a competitive benefits package, including health insurance, retirement savings, and paid time off.

Others
Please submit your cover letter, CV, sample publications, and contact information for consideration.