The Mohammadi lab is looking for computational postdocs to join ongoing efforts in systems genetics and precision medicine projects. Possible projects include, but are not limited to, modeling variation in non-coding genome, identifying regulatory variations that contribute to disease and combining genetic data with health monitoring sensor data. Our research is at the interface of Bioinformatics, Statistics, and Computer Science. We develop mathematical frameworks and statistical models to address the computational challenges of analyzing variation in the genome and its effect on human health. We are participating in basic research, as part of large functional genomics consortia such as the GTEx, and are collaborating closely with medical doctors in the clinic to ensure a translational impact. For more information visit our lab website: http://pejlab.scripps.edu and contact Dr. Mohammadi directly via email. Preferred Skills: The position involves developing analysis pipelines for large genomic and biomedical datasets that are theoretically solid and biologically justified. Therefore, candidates holding a Ph.D. in a theoretical field (e.g. Statistics, Computer Science, etc.) with a keen interest in genetics and biomedical research, or those with Ph.D./MD in biomedical sciences with substantial experience in scientific programming are encouraged to apply for the position. Lastly, experience in analyzing genomic data, NGS data, or probabilistic machine learning is a plus.
