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Why joining the Xiao Lab would enhance your training.
How your existing skills and training could contribute to the lab.
Exciting research projects or future directions you would like to pursue.
We look forward to your application.
The Laboratory of Spatial Systems Biology, led by Dr. Yang Xiao in the Department of Pathology at the University of Michigan Medical School, invites applications for a Postdoctoral Research Fellow position. Our highly interdisciplinary lab focuses on investigating genetic and epigenetic changes in traumatic brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic sequencing to study the cellular and molecular changes. The role involves both experimental and computational work under the supervision of the Principal Investigator.
Collect and process tissue samples towards histopathology and spatial sequencing experiments.
Extract RNA/ DNA from tissues and prepare sequencing libraries.
Analyze spatial sequencing data using Python or R.
Perform rodent neurosurgeries, such as craniotomy and cerebral microdialysis.
Conduct rodent surgical injection techniques, including intracranial injections, intravenous injections, and oral gavage.
Design, revise and maintain animal protocols.
Perform photoacoustic imaging of the mouse brain.
Maintain accurate and detailed records of experimental procedures and results.
Collaborate with and assist other lab members on related projects.
Follow and maintain laboratory protocols and procedures.
PhD degree in Biomedical Engineering, Pathology, Bioinformatics, Electrical Engineering or a related field.
At least 5 years of research experience in biology or a related discipline.
Publication record demonstrating computational skills in image processing or genomic data analysis.
Proficiency in rodent neurosurgeries.
Familiar with Linux OS, virtual environment working and batch scripting.
Programming proficiency in R, Python, or MATLAB.
Research experience in Molecular Biology, Digital Pathology, Epigenetics, Systems Biology, and Bioinformatics.
Research experience of microfabrication, soft-lithography, and microfluidics.
Knowledge of statistical methods commonly used in single-cell and spatial omics, such as Seurat and Scanpy.
Experience with machine learning models, such as transformer and diffusion models.
Strong written and oral communication skills.
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. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
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.
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
The University of Michigan is an equal employment opportunity employer.
A great university is made so by its faculty and staff, and Michigan is recognized as one of the best universities to work for in the country. The Michigan culture is known for engaging faculty and staff in all facets of the university to create a workplace that is vibrant and stimulating.For two consecutive years, the Chronicle of Higher Education has placed U-M in its "Great Colleges to Work For" survey. In particular, the university earns high marks for strong relations between faculty and administrators, a collaborative system of governance, strong pay and benefits, and a healthy work/life balance.