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Seeking a Postdoctoral Fellow
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Job Summary
The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine and Bioinformatics, as well as the Departments of Biostatistics & Biomedical Engg., University of Michigan is seeking a postdoctoral fellow to develop statistical analysis models for multiparametric & high dimensional imaging datasets. The fellow will be responsible for development of spatial modeling approaches and functional data analysis techniques for image analysis workflows as well as in the development of predictive models to relate image-derived phenotypes and genetics with clinical outcomes. This project is a joint effort between SIBL and Dr. Sebastian Kurtek at Ohio State University, Dr. Karthik Bharath at the University of Nottingham and Dr. Veera Baladandayuthapani (Biostatistics) at the University of Michigan. Project also has opportunities for candidates with interests in spatial, multi-modal, high-dimensional data fusion.
Multiple collaborative opportunities are available at the University. Our collaborators include clinicians and methodologists at the University, including the Michigan Institute for Data Science (MIDAS) as well as the Precision Health Initiative. Additional opportunities for collaboration are available with faculty in the Radiation Oncology, Engineering and Statistics departments.
Required Qualifications*
PhD in statistics, biostatistics, biomedical engineering, mathematics, or related field.
Desired Qualifications*
The ideal candidate will have familiarity with modeling of imaging data, broadly speaking (e.g: candidates with interests in spatial modeling of high-dimensional spatial datasets from geostatistics, functional data analysis, remote sensing, environmental/ecology data etc. are also welcome to apply). Additional desirable qualities include the ability to effectively work both independently and in a team, good communication skills, and a deep commitment for methodology development in the context of cancer bioinformatics & medicine.
How to Apply
Applications should include a CV, research statement and three references. Please send materials to ukarvind@umich.edu with Subject “SIBL Statistical-Modeling Postdoc”.
Additional Information
Duration: 2-3 years (renewable yearly). Extensions are also allowable. For questions regarding the position, please email Arvind Rao at ukarvind@umich.edu
Lab and project website: https://sibl.lab.medicine.umich.edu/data-integration-projects
Some relevant papers:
i. https://link.springer.com/chapter/10.1007/978-3-030-31351-7_24
ii. https://arxiv.org/pdf/2104.00510.pdf
iii. https://shariq-mohammed.github.io/publication/chekouo2020bayesian/
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act.
Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Application Deadline: Rolling (position will be open until filled)
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.
Seeking a Postdoctoral Fellow
The Systems Imaging and Bioinformatics Laboratory (https://sibl.lab.medicine.umich.edu/home) in the Department of Computational Medicine and Bioinformatics, University of Michigan has a postdoctoral fellow position available to develop analysis models for multiparametric imaging (radiology, pathology) and genomic datasets. The fellow will be responsible for development of image analysis workflows as well as multi-modal predictive models to relate image-derived phenotypes and genetics with clinical outcomes. More broadly, our group extensively uses methods from signal processing, machine learning and multi-modal data integration to study problems in health informatics & bioinformatics.
Multiple collaborative opportunities are available at the University. Our collaborators include clinicians and methodologists at the University, including the Michigan Institute for Data Science (MIDAS). Additional opportunities for collaboration are available with faculty in the Radiation Oncology and Statistics/Biostatistics departments.
Required Qualifications*
PhD in data science, statistics, engineering (eg: electrical, biomedical, computer science), computer science, imaging physics, mathematics, computational biology, bioinformatics, or related field.
Desired Qualifications*
The ideal candidate will have familiarity with modeling of imaging (preferably radiology and/or pathology) data, and experience in modern methods of machine learning and data integration. For candidates from engineering/statistics background, while direct familiarity with bioinformatics is not essential, willingness to learn and creativity are essential. Additional desirable qualities include the ability to effectively work both independently and in a team, strong communication (verbal and written) skills, and a deep commitment for methodology development in the context of cancer bioinformatics and health informatics.
For questions regarding the position, please email Arvind Rao at ukarvind AT med dot umich dot edu