"Postdoctoral Research Fellow in Biostatistics"

How to Apply

Applicants should submit in one document (1) a cover letter that addresses their specific interest in this position, skills and experiences directly related to this position, and highlight overall research interests and plan (no more than 3 pages), (2) a curriculum vitae, (3) the names and contact information of three references.

Please submit the materials to Sabrina Olsson (siclayto@umich.edu). If you have any questions about the position, please contact Veera Baladandayuthapani (veerab@umich.edu)

Job Summary

The Department of Biostatistics at the University of Michigan School of Public Health invites applications for a postdoctoral fellow position in the broad areas of statistics, data science and AI. The focus will be on developing and applying novel statistical, machine learning and AI-based computational tools to advance biomedical as well as oncology research. The fellow will work under the supervision of Dr. Veera Baladandayuthapani and there will be opportunities to collaborate within the Department of Biostatistics and across the School of Public Health and University of Michigan Rogel Cancer Center. The Department of Biostatistics is ranked 3 by the US news World Report and Rankings. We have a thriving body of 47 faculty, 16 postdocs, 243 students and 124 research and administrative staff, with close ties to the Department of Statistics, the Medical School, the Michigan Institute for Data Science, and other research groups across campus.

The start date is flexible; the selected candidate will ideally begin as soon as possible

Responsibilities

You will work with Dr. Baladandayuthapani and his research group in developing statistical and computational methods for large-scale, high-dimensional, complex-structured biomedical data.

The research topics include, but not limited to, computational approaches such as AI and machine learning; methodological foundations and computational approaches for AI for biomedicine, Bayesian inference, cancer imaging, digital pathology, spatial biomodeling, systems biology and other high-throughput data sources.

The postdoctoral fellow is expected to develop statistical methods and apply them to real-world studies, write manuscripts in peer-reviewed journals, disseminate research findings at professional conferences, and collaborate with biomedical researchers.

There will be opportunities to mentor PhD students on the research team. Successful candidates will receive competitive salaries, as well as computing resources, travel support, and other benefits in accordance with departmental and university policies.

Required Qualifications

• PhD in Biostatistics, Statistics, Computer Science, or a related quantitative field by the time of the appointment
• Strong methodological and computational skills
• Demonstrated interest or experience in health-related applications of statistical, data science and AI-based methods
• Strong written and oral communication skills
• Ability to work collaboratively with interdisciplinary teams

Work Locations

This position may be eligible for remote and/or flexible work opportunities at the discretion of the hiring department. Flexible work agreements are reviewed annually and are subject to change dependent on the business needs of the hiring department, throughout the course of employment.

Additional Information

Ann Arbor is a progressive city of about 118,000 year-round residents, and approximately 43,000 students, with excellent schools and a wide variety of sporting and musical activities. It is rated very highly in national surveys for its quality of life and has the amenities of a city many times its size. In addition to a career filled with purpose and opportunity, The University of Michigan offers a comprehensive benefits package to help you stay well, protect yourself and your family, and plan for a secure future. This is a one-year appointment with the possibility of an additional 2 years based on available funding and performance.