Ohio State University
Post Doctoral Scholar
Ohio State University - Columbus, Ohio, United States, 43215
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Overview
Post Doctoral Scholar
The Department of Internal Medicine at The Ohio State University invites applications for a full-time Postdoctoral Scholar position in Dr. Shanlin Ke's lab. The overarching goal of Dr. Ke's lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and wet-lab techniques to investigate the role of the human microbiome in human health and diseases and to develop microbiome-based therapeutics. The candidate will have the opportunity to learn and lead exciting research projects that integrate computational and experimental approaches to study host-microbiota interactions in pancreatitis and pancreatic cancer. Required Qualification: Doctoral degree in Microbiology, Biomedical Sciences, Bioinformatics, Computational Biology, or a related discipline is required by the start of employment. Experience in conducting microbiome research, including processing metagenomic sequencing data. Strong programming skills (e.g., R and Python). Experience with cloud computing. Excellent organizational and interpersonal skills, and a strong publication record. Desired Qualification: Strong background/interest in host-microbiota interaction in pancreatitis and pancreatic cancer. Strong background/interest in machine learning, in vivo and in vitro experiments. Location:
Twelfth Ave, 395 W (0356) Position Type:
Term (Fixed Term) Scheduled Hours:
40 Shift:
First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.
The Department of Internal Medicine at The Ohio State University invites applications for a full-time Postdoctoral Scholar position in Dr. Shanlin Ke's lab. The overarching goal of Dr. Ke's lab is to develop computational approaches and leveraging bioinformatics tools, metagenomic sequencing, multi-omics data, machine learning, and wet-lab techniques to investigate the role of the human microbiome in human health and diseases and to develop microbiome-based therapeutics. The candidate will have the opportunity to learn and lead exciting research projects that integrate computational and experimental approaches to study host-microbiota interactions in pancreatitis and pancreatic cancer. Required Qualification: Doctoral degree in Microbiology, Biomedical Sciences, Bioinformatics, Computational Biology, or a related discipline is required by the start of employment. Experience in conducting microbiome research, including processing metagenomic sequencing data. Strong programming skills (e.g., R and Python). Experience with cloud computing. Excellent organizational and interpersonal skills, and a strong publication record. Desired Qualification: Strong background/interest in host-microbiota interaction in pancreatitis and pancreatic cancer. Strong background/interest in machine learning, in vivo and in vitro experiments. Location:
Twelfth Ave, 395 W (0356) Position Type:
Term (Fixed Term) Scheduled Hours:
40 Shift:
First Shift Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.