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Postdoctoral Research Fellow in Statistical Methodology
hace 4 semanas
Harvard Medical School's Department of Health Care Policy is seeking candidates for multiple postdoctoral research fellow positions in statistical methodology for health policy. The successful candidates will work with statistics faculty on various projects, including Bayesian methods, machine learning, and nonparametric methods.
Key Responsibilities:
- Develop methodological innovations grounded in health care and policy applications
- Work with statistics faculty on various projects, including Bayesian methods, machine learning, and nonparametric methods
- Analyze real data and develop strong programming skills, especially for simulation studies
Qualifications:
- Doctoral degree in Statistics, Biostatistics, Computer Science, or related field
- Familiarity with causal inference for observational data and strong programming skills
- Excellent communication and writing skills
How to Apply:
Interested individuals should apply once, emphasizing their qualifications for and interest in a specific position or positions. Applications will be considered jointly to identify the best match of candidates to positions. To apply, submit a cover letter describing your research interests, a current CV, and have at least two references send letters to the department.
Harvard University is an Affirmative Action/Equal Opportunity Employer and seeks to find, develop, promote, and retain the world's best scholars. Applications from women and minority candidates are strongly encouraged.
