NIH-funded Postdoctoral Research Associate positions are available in the laboratory of Dr. Daifeng Wang (daifengwanglab.org/) in the Waisman Center and the Department of Biostatistics and Medical Informatics at the University of Wisconsin – Madison. The aim of this position is to develop and apply machine learning approaches and bioinformatics tools to analyze emerging single-cell multi-modal data for understanding functional genomics and achieving precision medicine in the human brain and brain diseases. The selected candidate(s) will work in an interdisciplinary environment and have a chance to collaborate with PIs from Waisman Center, UW-Madison, and other top institutes. She/he will be able to contribute to several ongoing projects and participate in the lab development, supervise students, and grant applications.
Daifeng Wang Lab focuses on developing interpretable machine learning approaches and bioinformatics tools to open “black-box” in complex biological systems (e.g., brains and brain disorders) and understand underlying functional genomics and gene regulatory mechanisms. Recent work has been published in high-profile journals such as Science, Nature, Nature Computational Science, Genome Medicine, Nature Biotechnology, Cell Systems, PLoS Computational Biology. Please find details at daifengwanglab.org/ .
The applicant(s) should have a Ph.D. or equivalent degree in bioinformatics, computer science, data science, engineering, biology, physics, or related areas with programming skills (e.g., R, Python). Prior experience in next-generation sequencing data, bioinformatics software development, and machine learning is preferred but not required.
Applicants are requested to send a CV and a list of 3 references to daifeng.wang@wisc.edu .