Applications are open for Postdoctoral Fellowship in Causal Inference and Vaccine Studies at the University of Michigan. The Department of Biostatistics at the University of Michigan invites applications for a full-time postdoctoral research fellow in causal inference and vaccine studies with supervision from Dr. Xu Shi (www.xuritashi.com/) at the Department of Biostatistics at the University of Michigan and Dr. Eric Tchetgen (statistics.wharton.u…enn.edu/profile/ett/) at the Statistics Department of the Wharton School, University of Pennsylvania.

The focus of this project will be: developing causal inference methods to detect and resolve unmeasured confounding bias, leveraging negative controls in vaccine effectiveness and safety studies, and using electronic health records data from a national vaccine safety data network and an emerging test-negative design platform. You are also encouraged to bring your own novel research ideas.

Responsibilities

Candidates on this Postdoctoral Fellowship in Vaccine Studies at the University of Michigan will do the following duties

• Develop statistical methods and theories and apply them to vaccine effectiveness and safety studies.
• Write manuscripts in peer-reviewed journals.
• Disseminate research findings at professional conferences.
• Collaborate with biomedical researchers.

Required Qualifications

• Doctoral degree in biostatistics, statistics, or a related field
• Strong statistical background
• Programming experience

The University of Michigan

The University of Michigan is the public research university in Ann Arbor, Michigan, United States of America.  Its comprehensive graduate program offers doctoral degrees in the humanities, social sciences, and STEM fields (science, technology, engineering, and mathematics) as well as professional degrees in architecture, business, medicine, law, pharmacy, nursing, social work, public health, and dentistry. Michigan’s body of living alumni comprises more than 540,000 people. Also, it is one of the largest alumni bases of any university in the world.