Bayesian Methods and Machine Learning Expert
5 days ago
Job Description: Postdoctoral Research Fellow in Statistical Methodology
Location: Harvard Medical School, Boston, MA
Job Type: Full-time
Duration: 1-2 years
About the Project: The Department of Health Care Policy at Harvard Medical School is seeking a highly qualified postdoctoral researcher to work on statistical methodology projects, including Bayesian methods, machine learning, and causal inference.
Key Responsibilities:
- Develop and apply statistical methods for analyzing health care data, focusing on Bayesian approaches and machine learning techniques.
- Collaborate with faculty and researchers on project design, data analysis, and results interpretation.
- Publish research findings in peer-reviewed journals and present at conferences.
Requirements:
- PhD in Statistics, Biostatistics, Computer Science, or related field.
- Strong background in Bayesian statistics, machine learning, and causal inference.
- Excellent analytical, communication, and collaboration skills.
About Us: Harvard University values diversity, equity, and inclusion and is committed to creating a welcoming environment for all students, staff, and faculty. We offer a competitive benefits package, including medical, dental, and vision insurance, as well as tuition remission and professional development opportunities.
Estimated Salary Range: $65,000 - $85,000 per year, commensurate with experience.
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