Postdoctoral fellow

Wayne State University/Karmanos Cancer Institute
Biostatistics and Bioinformatics Core, Department of Oncology
United States MI Detroit
mrr.wayne.edu/

Description

The Barbara Ann Karmanos Cancer Institute (KCI) (www.karmanos.org/) is an NCI-designated Comprehensive Cancer Center dedicated to the prevention, early detection, treatment, and eventual eradication of cancer. KCI is affiliated with Wayne State University School of Medicine (WSUSOM, www.med.wayne.edu/), which has the largest single-campus medical school in the country.

The postdoctoral fellow is expected to work on developing statistical/computational methods and packages for analyzing LC/GC-MS-based metabolomics data. The candidate will also have opportunities to collaborate with members of the Biostatistics & Bioinformatics Core, KCI, and Oncology department at WSUSOM.


Qualifications

The postdoctoral fellow is expected to have a Ph.D. degree in Statistics, Biostatistics, Mathematics, Bioinformatics, Computer Science, or other relevant disciplines, with strong quantitative or computational research background, excellent oral and written communication skills, and experience in writing a scientific paper. The candidate is expected to be proficient in one of the popular programming languages (e.g., R, C, C++, FORTRAN, JAVA, MATLAB, Python, Perl, etc.). Although not required, experience in analyzing Big Data or omics data, working in high-performance computing (such as Bayesian MCMC or deep learning), and/or developing an R package or any other software packages is preferred.


Start date

As soon as possible

How to Apply

Please send your CV to Dr. Seongho Kim (kimse@karmanos.org) with the subject line: 2022 Postdoc Application. Applications will be reviewed on a rolling basis until the position is filled.