The Department of Biostatistics is a very busy and diverse department focused on research and teaching. Our 60+ faculty are leaders in the development of statistical methods for clinical trials and observational studies, studies on the environment, computational biology, and genomics/genetics. We offer degree programs in biostatistics, computational biology and data science; currently, more than 200 students are enrolled in these programs.
Reporting to the Assistant Director of Administration, the Administrative Assistant will provide administrative and clerical support for the Department of Biostatistics, performing a wide range of duties to ensure smooth daily operations, effective administration, and clear communications in a fast-paced, diverse educational and research environment. In addition to providing general support for the Department, the incumbent will provide administrative support for the National Studies on Air Pollution and Health (NSAPH) group and its PIs. This Administrative Assistant will work with minimal supervision performing a wide range of complex and confidential duties, which requires using multiple software applications including MS Office (Word, Excel and Powerpoint), Outlook calendar and email, Concur expense management, Zoom video conferencing, and other Harvard software and systems.
- Doctoral degree in Computer Science, Statistics, Biostatistics, or related field.
- Experience in analyzing real data, strong programming skills, and familiarity with statistical methods is preferred.
- Excellent communication and writing skills desired.
- The ideal candidate is an independent, solution-oriented thinker with a strong background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable insights and novel solutions.
- Experience in handling very large spatial datasets.
- Experience in applied statistics and computational methods.
- Knowledge of R, and Python.
- Interest in open-source software, reproducibility and data management.
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- Doctoral degree in Computer Science, Statistics, Biostatistics, or related field.
- Experience in analyzing real data, strong programming skills, and familiarity with statistical methods is preferred.
- Excellent communication and writing skills desired.
- The ideal candidate is an independent, solution-oriented thinker with a strong background processing very large data sets, applying analytical rigor and statistical methods, and driving toward actionable
Duties and Responsibilities:
The Post-doctoral Fellow will contribute to the effort of:
Please contact us on nsaph.harvard@gmail.com for more information.