Postdoctoral Research Fellow in Statistical Methodology
1 week ago
About the Role: The Department of Health Care Policy at Harvard Medical School is seeking candidates for multiple statistics postdoctoral fellow positions. These positions involve working with statistics faculty on various projects, including Bayesian methods, machine learning, and causal inference.
">Responsibilities:
- Collaborate with faculty on research projects, developing methodological innovations grounded in health care and policy applications.
- Analyze real data, utilizing strong programming skills and experience with simulation studies.
- Contribute to publications, presentations, and other academic outputs.
Requirements:
- Doctoral degree in Statistics, Biostatistics, Computer Science, or related field.
- Familiarity with causal inference for observational data, machine learning, and Bayesian methods.
- Excellent communication and writing skills, with ability to present complex ideas clearly.
About Us: Harvard University seeks to find, develop, promote, and retain the world's best scholars. We are an Affirmative Action/Equal Opportunity Employer and strongly encourage applications from women and minority candidates.
Salary: Estimated salary range $60,000 - $80,000 per year, commensurate with experience.
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Étreux, Hauts-de-France, United States The International Society for Bayesian Analysis Full timeJob TitlePostdoctoral Researcher in Statistical MethodologyAbout the RoleWe are seeking a highly motivated postdoctoral researcher to join our team at Harvard Medical School. The ideal candidate will have a strong background in statistical methodology and a passion for applying these skills to real-world problems in health policy.ResponsibilitiesThe...
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