res Assoc I

3 weeks ago

Ann Arbor, United States University Of Michigan Full time

Summary

The Systems Imaging and Bioinformatics Laboratory in the Department of Computational Medicine and Bioinformatics, University of Michigan is seeking a research associate to develop analysis workflows for multiplatform genomic and imaging datasets. The RA will be responsible for development of genomic and image analysis workflows as well as predictive models to relate phenotypes and genetics with clinical outcomes.

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 departments.

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.

Required Qualifications*

A Master's degree in computational biology, bioinformatics, electrical engineering, imaging physics, statistics, biostatistics, mathematics, or related field. In exceptional circumstances, a Bachelor's candidate with relevant experience can also be considered.

Desired Qualifications*

The ideal candidate will have familiarity with modeling of genomics (bulk and single-cell RNAseq, epigenomic, and spatial transcriptomics/profiling) data. 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.

Additional Information

For questions regarding the position, please email Arvind Rao at [email protected]

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