Postdoctoral Research Fellow in Statistical Methods
3 weeks ago
Position Summary
We are seeking a highly skilled postdoctoral research fellow to join our team in the Department of Biostatistics at Harvard University's T.H. Chan School of Public Health. The successful candidate will have a strong background in statistical methods and machine learning, with a focus on developing novel approaches for analyzing complex biomedical data.
Key Responsibilities
The postdoctoral research fellow will work closely with Dr. Jeff Miller to develop statistical methods and software tools for analyzing high-dimensional biomedical data from cancer genomics and clinical applications. This will involve collaborating with colleagues to design and implement new statistical models, as well as providing technical support for data analysis projects.
Requirements
To be considered for this position, you should have a doctoral degree in Statistics, Biostatistics, Computer Science, Applied Math, or a related field. You should also have advanced expertise in Bayesian statistics and machine learning, 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.
What We Offer
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